RE: [otb-users] Compiling Test GDAL_VERSION - Failed

[Michel Julien]

Hi,

Please consider posting to https://forum.orfeo-toolbox.org instead, this 
mailing list is not used anymore.

Regards,

Julien

De : otb-users@googlegroups.com  De la part de 
Kishore b
Envoyé : mardi 17 septembre 2019 13:55
À : otb-users 
Objet : [otb-users] Compiling Test GDAL_VERSION - Failed


Hi All,



I'm new to OTB and trying to build OTB with CMake but facing the below error. I 
tried multiple solutions available on OTB gitlab , online but nothing worked.

Any suggestions on how to proceed are appreciated.



CMake version: 3.14.6
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RE: [otb-users] pb with trainimageclassifer and imageClassifer

[Michel Julien]

Hi,

Please consider posting to https://forum.orfeo-toolbox.org, this mailing list 
is not used anymore.

Regards,

Julien

De : otb-users@googlegroups.com  De la part de Eric 
Haïs
Envoyé : jeudi 26 septembre 2019 17:06
À : otb-users 
Objet : [otb-users] pb with trainimageclassifer and imageClassifer

hi,

I want to count some plant since orthophoto but i have a error  whan i use the 
model vector file.

I thiink the errors come from the message "all classes are empty", but i don't 
know what can i go.

my small image is joined to this post, the vector model is very small and has 
one colomn (id) and one polygon geometry in the same SCR.

could someone help me to anderstand and resolve this problem.

.



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RE: [otb-users] Stuck on processing - using ComputeImagesStatistics

[Michel Julien]

Hi,

This may be a long thread, could you re-open it in our new forum : 
https://forum.orfeo-toolbox.org

So that you can get more intereactive support ?

Regards,

Julien

De : otb-users@googlegroups.com  De la part de Ross 
Edwards
Envoyé : mardi 19 février 2019 20:59
À : otb-users 
Objet : [otb-users] Stuck on processing - using ComputeImagesStatistics

Hi

So glad I found this email list :)

I wonder if someone could help as I feel like I'm stuck on the first hurdle.

I've installed OTB 6.6.1 and I'm using QGIS 3.4.4

loaded in a tif raster (4 band)  and trying to run 'ComputeImagesStatistics' to 
create my xml file.  I understand this was previously called 'Compute Images 
Second order statistics' ?

Having looked at the following video tutorials I was expecting it to process 
pretty quickly

https://www.youtube.com/watch?v=ufSQ2SgSIV4

https://www.youtube.com/watch?v=emoGMibsgv0

However it just sits on processing   and never finishes or generates an 
output xml ?

Am I doing something very stupid?

I assumed I that I do not need to create the samples in shapefile before the 
ComputeImagesStatistics step and that I can do that after?

Thanks for any help

Kind regards,

Ross
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RE: [otb-users] raster file for EndmemberNumberEstimation function

[Michel Julien]

Hi,

All applications reading images in OTB support vrt files.

For future questions, please use our new forum instead :

https://forum.orfeo-toolbox.org

Regards,

Julien

De : otb-users@googlegroups.com  De la part de 
Hristo Nikolov
Envoyé : lundi 18 février 2019 10:15
À : otb-users 
Objet : [otb-users] raster file for EndmemberNumberEstimation function

Dear colleagues,

it is not explicitly mentioned if EndmemberNumberEstimation function supports 
VRT (virtual raster) files.
I'd welcome this since for large areas it is not suitable to nave single large 
file with 60+ bands.

Regards.
Hristo


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RE: [otb-users] Is otbcli_TrainVectorClassifier supporting multi-core processing?

[Michel Julien]

AFAIK OpenMP is not enabled in binary packages.

Note that we have a new forum and that discussions should best occur there : 
forum.orfeo-toolbox.org .

Regards,

Julien

> -Message d'origine-
> De : otb-users@googlegroups.com  De la part de 
> Jordi Inglada
> Envoyé : mardi 5 février 2019 09:14
> À : Steve Ji 
> Cc : otb-users 
> Objet : Re: [otb-users] Is otbcli_TrainVectorClassifier supporting multi-core 
> processing?
> 
> Hi,
> 
> I looks like OMP is not enabled. Are you using the binary packages or have 
> you built OTB yourself?
> 
> Jordi
> 
> On Tue 05-Feb-2019 at 02:31:23 +01, Steve Ji  wrote:
> > Hi ,
> >
> > Thank you for reading my post.
> >
> > I am new to OTB and using it with my Master's Thesis. It is really handy 
> > and good to use in processing remote sensing data. Thanks
> for the team of OTB and all people who have contribute to it.
> >
> > Recently, I use the command otbcli_TrainVectorClassifier with the model of 
> > Shark Random Forest to training a RF model for
> classification. The training data is a 15GB sqlite file. The command is as 
> following:
> >
> > otbcli_TrainVectorClassifier -io.vd input.sqlite -io.out output_model.txt  
> > -feat band_field -cfield lc_id -classifier sharkrf -
> classifier.sharkrf.nbtrees 100 -classifier.sharkrf.nodesize 1 
> -classifier.sharkrf.mtry 0 -classifier.sharkrf.oobr 1 -progress 1
> >
> > When I launched the command, I found a issue is that it seems the training 
> > process only uses one core of my computer.
> >
> > The environment of my computer is :
> >
> > Screen Shot 2019-02-05 at 12.26.45 pm.jpg
> >
> > So, my question is: Is it possible to make use of all 12 cores of my 
> > computer when training with otbcli_TrainVectorClassifier?
> >
> > Thank you for your help.
> >
> > Cheers,
> >
> > Steve Zehui
> 
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RE: [otb-users] Re: Is there any way to make Band Math ignore NA values?

[Michel Julien]

Hi,

We have a new forum, and questions should be best addressed here if possible :

https://forum.orfeo-toolbox.org/

Regarding your question, we have an issue running on this topic, it should be 
fixed in a near future.

https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/issues/1798

Regards,

Julien

De : otb-users@googlegroups.com  De la part de 
Julien Radoux
Envoyé : vendredi 1 février 2019 07:34
À : otb-users 
Objet : [otb-users] Re: Is there any way to make Band Math ignore NA values?

hi, the workaround is quite heavy but works most of the case : testing that you 
value are within a range:

it wold be something like

(((im1b1>-)and(im1b1<)?im1b1:0) + 
(((im2b1>-)and(im2b1<))?im2b1) + 

if this does not work straight aways, try first with a gdalbuildvrt -vrtnodata 
None

Le jeudi 31 janvier 2019 22:39:22 UTC+1, Álvaro Paredes a écrit :
Hi everyone,

I'm using otb BandMath to calculate some stats through several images, and the 
problem that arises is that nodata values ​​from the images are interfering 
with results.

Every image is a geotif of the same extent and resolution, but the location of 
the NAs values are variable (due to clouds principally). If I compute the sum 
or average of the images I end with and image full of NAs, without any valid 
value (in all the images, there's at least one cell with NAs).

For example, I'm running: otbcli_BandMath -il im1.tif im2.tif im3.tifim4.tif 
im5.tif im6.tif im7.tif im8.tif im9.tif im10.tif -out test.tif -exp 
"(im1b1+im2b1+im3b1+im4b1+im5b1+im6b1+im7b1+im8b1+im9b1+im10b1)"

Is there any way to tell to the program to ignore nodata values or is there a 
workaround to solve it?

Regards,
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RE: [otb-users] gap filling Filled data with 0

[Michel Julien]

Note that we have a new forum and that topics and discussions should rather 
move there : https://forum.orfeo-toolbox.org

De : otb-users@googlegroups.com  De la part de 
Guillaume Pasero
Envoyé : mardi 29 janvier 2019 12:16
À : otb-users@googlegroups.com
Objet : Re: [otb-users] gap filling Filled data with 0


Hi,

You are referring to the "Image Time Series Gap Filling" right ?

Does your output carry a no-data information reported by gdalinfo ?

Regards,

Guillaume

PS: feel free to use the new OTB forum
On 1/16/19 8:57 AM, Resnow wrote:
Hi,

I recently changed of computer. In my old one I installed OTB 6.6.0 on my 
centos machine with the procedure described here : 
https://www.orfeo-toolbox.org/CookBook/Installation.html. When a was running 
the Gap Filling operator it was OK, no problem to report.

On my New Centos machine, OTB was already installed probably with the same 
procedure as before, and the version is 6.4. Now, when I 'm running the Gap 
Filling operator (with same inputs as on my old machine), I have strange 
results, and it seems that masked values (defined by the mask) are converted to 
0 value in the output.

I don't know if the problem come from the version, so i tried to uninstall the 
6.4 version and to re-install the more recent version 6.6.1, but the result is 
the same.

Any idea ?

Thanks in advance for your help.
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[cid:image001.png@01D4B7DA.F88B4FA0]

Guillaume PASERO
Responsable technique
Business Unit ESPACE & GeoInformation - Département Payload Data & Applications

CS Systèmes d'Information
Parc de la Grande Plaine - 5, Rue Brindejonc des Moulinais - BP 15872
31506 Toulouse Cedex 05 - FRANCE
+33 561 17 64 21 - guillaume.pas...@c-s.fr

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RE: [otb-users] Orthorectification models

[Michel Julien]

Note that we have a new forum and that topics and discussions should rather 
move there : https://forum.orfeo-toolbox.org


De : otb-users@googlegroups.com  De la part de 
Guillaume Pasero
Envoyé : mardi 29 janvier 2019 12:19
À : otb-users@googlegroups.com
Objet : Re: [otb-users] Orthorectification models


Hi,

Most of the sensors supported in OTB use a RPC based model (used during 
orthorectification). Notable exceptions are Spot5 and Sentinel 1 which use a 
more rigorous model.

Regards,

Guillaume

PS: feel free to use the new OTB forum
On 1/29/19 11:14 AM, felicia monti wrote:
Hi!
I use OTB for orthorectification of satellite images ... but I have a question 
about orthorectification models.
Does OTB allow to perform orthorectification with the RPC model or even with 
the rigorous model?
Thank you
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Responsable technique
Business Unit ESPACE & GeoInformation - Département Payload Data & Applications

CS Systèmes d'Information
Parc de la Grande Plaine - 5, Rue Brindejonc des Moulinais - BP 15872
31506 Toulouse Cedex 05 - FRANCE
+33 561 17 64 21 - guillaume.pas...@c-s.fr

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RE: [otb-users] OTB Segmentation

[Michel Julien]

Hi,

Can you use the new forum instead ?
https://forum.orfeo-toolbox.org

Can you attach a screenshot of the algorithm configuration window ?

Thanks,

Regards,

Julien


De : otb-users@googlegroups.com  De la part de Vana
Envoyé : jeudi 24 janvier 2019 10:08
À : otb-users 
Objet : [otb-users] OTB Segmentation

Dear all,
i want to perform a object-based-image analysis within QGIS 3.4.4 (Madeira). 
Therefore i installed and configured the OTB plugin. It is available in my 
toolbox in QGIS, but each time when i try to run the tool segmentation i 
receive the error message: wrong or missing parameter value: condition.
I tried to modify my parameters but it doesn't work.
Might this be due to false chosen parameters, installation problems or the fact 
that the plugin is still experimental?
I would be very glad to receive an answer soon because time is running (master 
thesis :( )
Thanks in advance,
Vana

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[otb-users] RE: OTB 6.6.1 compilation problem

[Michel Julien]

Can you post the result of gcc –version ?

Beware that miminum standard for OTB is now c++14. If it is not supported by 
your compiler, you will need to upgrade its version.

De : otb-users@googlegroups.com  De la part de 
Koleck Thierry
Envoyé : mercredi 16 janvier 2019 16:15
À : otb-users@googlegroups.com
Objet : [otb-users] RE: OTB 6.6.1 compilation problem

It seems the c++ version I use is not compliant with c++14.
I tried to add –std=c++11 in the ccmake, but I have the same error.

I think I need to upgrade the c++ compiler.

De : otb-users@googlegroups.com 
mailto:otb-users@googlegroups.com>> De la part de 
Poughon Victor
Envoyé : mercredi 16 janvier 2019 15:57
À : otb-users@googlegroups.com
Objet : [otb-users] RE:OTB 6.6.1 compilation problem

It looks like C++14 is not enabled. It should detect automatically though... 
Can you show your config script?


Victor Poughon

De : otb-users@googlegroups.com 
[otb-users@googlegroups.com] de la part de Koleck Thierry 
[thierry.kol...@cnes.fr]
Envoyé : mercredi 16 janvier 2019 15:52
À : otb-users@googlegroups.com
Objet : [otb-users] OTB 6.6.1 compilation problem
Hello,
I am trying to compile OTB 6.6.1 on a Linux system using Superbuild
All librairies compiles correctly but I obtain the following error when 
compiling OTB itself.
I m using gcc version 4.8.5 20150623 (Red Hat 4.8.5-16) (GCC)

What’s wrong on my configuration ?

Thank you


[ 41%] Building CXX object 
Modules/Wrappers/ApplicationEngine/src/CMakeFiles/OTBApplicationEngine.dir/otbWrapperApplicationHtmlDocGenerator.cxx.o
In file included from 
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Filtering/ImageManipulation/include/otbClampImageFilter.h:24:0,
 from 
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Wrappers/ApplicationEngine/include/otbWrapperInputImageParameter.txx:27,
 from 
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Wrappers/ApplicationEngine/include/otbWrapperInputImageParameter.h:174,
 from 
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Wrappers/ApplicationEngine/include/otbWrapperApplication.h:33,
 from 
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Wrappers/ApplicationEngine/include/otbWrapperApplicationHtmlDocGenerator.h:24,
 from 
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Wrappers/ApplicationEngine/src/otbWrapperApplicationHtmlDocGenerator.cxx:21:
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Filtering/ImageManipulation/include/otbConvertTypeFunctor.h:155:10:
 erreur: ‘std::enable_if_t’ has not been declared
 std::enable_if_t < std::is_arithmetic < PixelType > ::value  , int > = 0 >
  ^
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Filtering/ImageManipulation/include/otbConvertTypeFunctor.h:155:22:
 erreur: expected ‘>’ before ‘<’ token
 std::enable_if_t < std::is_arithmetic < PixelType > ::value  , int > = 0 >
  ^
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Filtering/ImageManipulation/include/otbConvertTypeFunctor.h:165:10:
 erreur: ‘std::enable_if_t’ has not been declared
 std::enable_if_t < boost::is_complex < PixelType > :: value , int > = 0 >
  ^
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Filtering/ImageManipulation/include/otbConvertTypeFunctor.h:165:22:
 erreur: expected ‘>’ before ‘<’ token
 std::enable_if_t < boost::is_complex < PixelType > :: value , int > = 0 >
  ^
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Filtering/ImageManipulation/include/otbConvertTypeFunctor.h:166:8:
 erreur: ‘template 
template > void 
otb::Functor::ConvertTypeFunctor::FillIn(unsigned int, const InputPixelType&, 
std::vector&) const’ cannot be overloaded
   void FillIn( unsigned int i ,
^
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Filtering/ImageManipulation/include/otbConvertTypeFunctor.h:156:8:
 erreur: with ‘template 
template > void 
otb::Functor::ConvertTypeFunctor::FillIn(unsigned int, const InputPixelType&, 
std::vector&) const’
   void FillIn( unsigned int i ,
^
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Filtering/ImageManipulation/include/otbConvertTypeFunctor.h:177:9:
 erreur: ‘std::enable_if_t’ has not been declared
std::enable_if_t <  !( boost::is_complex < PixelType > :: value
 ^
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Filtering/ImageManipulation/include/otbConvertTypeFunctor.h:177:21:
 erreur: expected ‘>’ before ‘<’ token
std::enable_if_t <  !( boost::is_complex < PixelType > :: value
 ^
/home/koleckt/OTB-6.6-test-compile/otb/Modules/Filtering/ImageManipulation/include/otbConvertTypeFunctor.h:179:8:
 erreur: ‘template 
template > void 
otb::Functor::ConvertTypeFunctor::FillIn(unsigned int, const InputPixelType&, 
std::vector&) const’ cannot be overloaded
   void FillIn( 

RE: [otb-users] introduction of negative DNs in otb

[Michel Julien]

Hi,

You can set the output encoding with :

https://www.orfeo-toolbox.org/PythonDoc/stubs/otbApplication.Application.html#otbApplication.Application.SetParameterOutputImagePixelType

SetParameterOuptutImagePixelType(“out”, 2) should set it to unsigned int (16 
bits).

Regards,

Julien

De : otb-users@googlegroups.com  De la part de 
Gabrielle Hoelzle
Envoyé : vendredi 11 janvier 2019 16:31
À : otb-users 
Objet : Re: [otb-users] introduction of negative DNs in otb

I have not been using command line but a script. I will attach.

On Friday, January 11, 2019 at 10:11:54 AM UTC-5, Julien Michel wrote:
Hi,

Can you post more details, such as command-lines ?

Regards,

Julien

De : otb-...@googlegroups.com 
> De la part de Gabrielle Hoelzle
Envoyé : vendredi 11 janvier 2019 16:05
À : otb-users >
Objet : [otb-users] introduction of negative DNs in otb

I am having an issue with both Worldview and Pleaides when I run (at minimuim) 
any of these steps : superimpose, pansharpening, orthorectification. During the 
process, the 16bit float raw inputs are being upgraded 32 bit and negative 
values are being introduced. I am hoping someone is aware of a workaround for 
this. Or an explanation of why this is happening. Thanks

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RE: [otb-users] OTB for Mac

[Michel Julien]

I think you need to make it executable (wtih chmod u+x for instance) and run it 
with  ./ prefix.

De : otb-users@googlegroups.com  De la part de 
Samuel Pearce
Envoyé : dimanche 13 janvier 2019 19:17
À : otb-users 
Objet : [otb-users] OTB for Mac

Hiya,

I'm following a QGIS tutorial that uses OTB. I have downloaded the binary 
package for Mac but how do I now open the .run file?

Thanks,
Sam
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RE: [otb-users] introduction of negative DNs in otb

[Michel Julien]

Hi,

Can you post more details, such as command-lines ?

Regards,

Julien

De : otb-users@googlegroups.com  De la part de 
Gabrielle Hoelzle
Envoyé : vendredi 11 janvier 2019 16:05
À : otb-users 
Objet : [otb-users] introduction of negative DNs in otb

I am having an issue with both Worldview and Pleaides when I run (at minimuim) 
any of these steps : superimpose, pansharpening, orthorectification. During the 
process, the 16bit float raw inputs are being upgraded 32 bit and negative 
values are being introduced. I am hoping someone is aware of a workaround for 
this. Or an explanation of why this is happening. Thanks

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RE: [otb-users] Get bursts extent from Sentinel-1 SLC?

[Michel Julien]

Hi Bob,

You might be interested by this new feature, that will likely be merged in OTB 
7.0 :

https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/merge_requests/315

Regards,

Julien


De : otb-users@googlegroups.com  De la part de Bob
Envoyé : lundi 31 décembre 2018 11:27
À : otb-users 
Objet : [otb-users] Get bursts extent from Sentinel-1 SLC?

Hello,

Is it possible to get the extent of the bursts for Sentinel-1 SLC products 
before processing?
In particular, I am interested in finding the burst(s) I need to reduce the 
processing time.

Thanks
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RE: [otb-users] OpticalCalibration level toc python

[Michel Julien]

Hi,

Can you file a bug report in our gitlab (gitlab.orfeo-toolbox.org ) ? We will 
have a look at it.

Regards,

Julien

De : otb-users@googlegroups.com  De la part de 
Nafissa Sfaksi
Envoyé : mardi 9 octobre 2018 04:40
À : otb-users 
Objet : Re: [otb-users] OpticalCalibration level toc python

Hello all,

I have the same problem, I used the otbgui_OpticalCalibration with Pleiade 
image and the process crash without any log message.

The  TAO work correctly but TAC not. I have tried with and without aerosol 
model and the result was the same.

Is there any tips or solution to solve the problem?

Thank you for your answer(s)

Nafissa

Le mardi 16 janvier 2018 21:37:07 UTC+11, 
aso...@gmail.com a écrit :
Hello,

Thanks for your answer, I just saw it !

There is no error message or output, Python crashes without doing anything...

Le vendredi 22 décembre 2017 10:40:38 UTC+1, Manuel Grizonnet a écrit :
Hello,
can you give me more information on what exactly "doesn't work" in the case 
where you select the TOC mode?

Can you provide the error message or any information on the application output?
Thanks in advance,
Manuel

2017-12-07 10:44 GMT+01:00 mailto:aso...@gmail.com>>:
Hello ,

I'm working on Pleiades and Spot 6/7 images and I'm trying to run the 
OpticalCalibration application on Python to perform Optical Calibration level 
TOC. I have no problem to perform TOA level with python so I don't understand 
why it doesn't work when I choose level TOC with no aerosol model...
The images are the same and I keep the default parameters, I just change 
OpticalCalibration.SetParameterString("level","toa") to 
OpticalCalibration.SetParameterString("level","toc") and I add the line 
OpticalCalibration.SetParameterString("atmo.aerosol","noaersol") in my Python 
code.
Has anyone run into the same problem ?

Thanks for your help,
Anne-Sophie Onody
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--
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RE: [otb-users] otbcli_BundleToPerfectSensor is generating an invalid image

[Michel Julien]

Then it should work with OTB as well … Can you file a bug report ? And post the 
result of the ReadImageInfo app on the inputs, it helps to understand how otb 
sees your data.

De : otb-users@googlegroups.com  De la part de 
pritimoy.pod...@deimos-space.com
Envoyé : vendredi 5 octobre 2018 16:29
À : otb-users 
Objet : Re: [otb-users] otbcli_BundleToPerfectSensor is generating an invalid 
image

Hi,
They overlap correctly and yes you are right the input images already have a 
projection. I tried gdal_pansharpen and it has generated a valid image, I am a 
bit lost here!

Pritimoy

On Friday, 5 October 2018 14:10:32 UTC+1, Guillaume Pasero wrote:

Hi,

it looks like your output image is empty (filled with 0). It also looks like 
your input images already have a projection, when you open them in QGIS do they 
overlap correctly ?

For clarity, you should also specify the file extension of output image : 
pansharpened_image.tif
Regards,
Guillaume
On 10/05/2018 11:51 AM, pritimo...@deimos-space.com wrote:
Hi Julien,
Many thanks for your quick reply. Both Input and Output file formats are 
GeoTIFF.gdalinfo can read both inputs and output. gdalinfo for the output image 
is as follows:
Driver: GTiff/GeoTIFF
Files: pansharpened_image
Size is 1129, 1257
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (116.442644579287958,40.183680965026390)
Pixel Size = (0.03177881044,-0.03178646589)
Metadata:
  AREA_OR_POINT=Area
Image Structure Metadata:
  INTERLEAVE=PIXEL
Corner Coordinates:
Upper Left  ( 116.4426446,  40.1836810) (116d26'33.52"E, 40d11' 1.25"N)
Lower Left  ( 116.4426446,  40.1796854) (116d26'33.52"E, 40d10'46.87"N)
Upper Right ( 116.4462324,  40.1836810) (116d26'46.44"E, 40d11' 1.25"N)
Lower Right ( 116.4462324,  40.1796854) (116d26'46.44"E, 40d10'46.87"N)
Center  ( 116.385,  40.1816832) (116d26'39.98"E, 40d10'54.06"N)
Band 1 Block=1129x1 Type=UInt16, ColorInterp=Gray
  NoData Value=0
Band 2 Block=1129x1 Type=UInt16, ColorInterp=Undefined
  NoData Value=0
Band 3 Block=1129x1 Type=UInt16, ColorInterp=Undefined
  NoData Value=0
Band 4 Block=1129x1 Type=UInt16, ColorInterp=Undefined
  NoData Value=0
Band 5 Block=1129x1 Type=UInt16, ColorInterp=Undefined
  NoData Value=0
Band 6 Block=1129x1 Type=UInt16, ColorInterp=Undefined
  NoData Value=0
Band 7 Block=1129x1 Type=UInt16, ColorInterp=Undefined
  NoData Value=0
Band 8 Block=1129x1 Type=UInt16, ColorInterp=Undefined
  NoData Value=0

FYI, when I am loading the output on QGIS I am also getting following error 
messages:
ERROR 1:pansharpened_image, band 1: Failed to compute statistics, no valid 
pixels found in sampling.
ERROR 1:pansharpened_image, band 1: Failed to compute statistics, no valid 
pixels found in sampling.
ERROR 1:pansharpened_image, band 2: Failed to compute statistics, no valid 
pixels found in sampling.
ERROR 1:pansharpened_image, band 2: Failed to compute statistics, no valid 
pixels found in sampling.
ERROR 1:pansharpened_image, band 3: Failed to compute statistics, no valid 
pixels found in sampling.
ERROR 1:pansharpened_image, band 3: Failed to compute statistics, no valid 
pixels found in sampling.

Kind regards,
Pritimoy

On Friday, 5 October 2018 10:18:05 UTC+1, Julien Michel wrote:
Hi,

What file format are you using for input and outputs ? Can gdal read the 
inputs/output with gdalinfo ?

Regards,

Julien

De : otb-...@googlegroups.com  De la part de 
pritimo...@deimos-space.com
Envoyé : vendredi 5 octobre 2018 11:00
À : otb-users 
Objet : [otb-users] otbcli_BundleToPerfectSensor is generating an invalid image

Hi,
I am using otbcli_BundleToPerfectSensor to pan-sharpen a worldview3 image. It 
is generating an image which seems to be invalid, when I try to load the image 
on QGIS I get std::bad_alloc. I have ubuntu 14.04 server where I installed 
otb-bin 5.4.0+dfsg-1~trusty2 and used the following command to generate the 
image:
otbcli_BundleToPerfectSensor -ram 4096  -inp input_pan_image -inxs 
input_multispectral_image -out pansharpened_image uint16

Am I missing something? Any help will be appreciated.
Pritimoy

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RE: [otb-users] otbcli_BundleToPerfectSensor is generating an invalid image

[Michel Julien]

Hi,

What file format are you using for input and outputs ? Can gdal read the 
inputs/output with gdalinfo ?

Regards,

Julien

De : otb-users@googlegroups.com  De la part de 
pritimoy.pod...@deimos-space.com
Envoyé : vendredi 5 octobre 2018 11:00
À : otb-users 
Objet : [otb-users] otbcli_BundleToPerfectSensor is generating an invalid image

Hi,
I am using otbcli_BundleToPerfectSensor to pan-sharpen a worldview3 image. It 
is generating an image which seems to be invalid, when I try to load the image 
on QGIS I get std::bad_alloc. I have ubuntu 14.04 server where I installed 
otb-bin 5.4.0+dfsg-1~trusty2 and used the following command to generate the 
image:
otbcli_BundleToPerfectSensor -ram 4096  -inp input_pan_image -inxs 
input_multispectral_image -out pansharpened_image uint16

Am I missing something? Any help will be appreciated.
Pritimoy

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RE: [otb-users] Question about OrthoRectification

[Michel Julien]

Yes, you can create it by hand with any text editor, provided that you comply 
with the format (which I believe is x y lat lon h).

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de felicia monti
Envoyé : mercredi 23 mai 2018 10:54
À : otb-users 
Objet : Re: [otb-users] Question about OrthoRectification


Hi,
Sorry for the insistence, but I'm still trying to solve my problem. I would 
like to use the refinesensormodel application using some points detected with 
gps.
I wouldn't use the homologouspointsextraction application. Is there a way to 
create the text file directly from orfeo?
Thanks
Felicia
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RE: [otb-users] Re: KMeansClassification error with nodata value

[Michel Julien]

Hi,

-vm parameter should do the trick (only non-zero values will be used to 
estimate the k-means). You can build the mask with the ManageNoData 
application. If this does not work, I encourage you to open an issue in gitlab.

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Julien
Envoyé : mercredi 23 mai 2018 10:14
À : otb-users 
Objet : [otb-users] Re: KMeansClassification error with nodata value

Hi,

I would like to repost my question about processing nodata values ​​in the 
different otb functions, unsupervised classifications in particular. How to 
assign specific values ​​to nodata pixels, and exclude them from treatments? is 
the use of masks the right solution?

Thanks for your help



Regards,

Julien

Le mardi 10 avril 2018 11:40:03 UTC+2, Julien a écrit :
Hi,
I tried to perfom an unsupervised classification using Kmeans algorithm.
My first question is : is this algorithm uses all the bands in case of using it 
on a multispectral image? or does it use only the first band of the image?
I tried to use it on subset of my image extracted with gdalwarp. I decided to 
attribute nodata value to - during the process.
When I perform the kmeans classification, i can see that statistics parameters 
of my image used by the algorithm include no data value (so mean and stddev 
generated are false), and i can't avoid that.
I tried to use a mask (using -vm pathotoimagemask.tif), but it doesn't change 
anything.
Coud you help me?

Thanks

Regards,
Julien
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RE: [otb-users] pansharpening of tiled P + MS Pleiades images

[Michel Julien]

Hi,

This should work fine … Can you open a bug report and post the gdalinfo output 
as well as geom files for both mosaics ?

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de anamaria.loghi...@gmail.com
Envoyé : jeudi 10 mai 2018 14:38
À : otb-users 
Objet : [otb-users] pansharpening of tiled P + MS Pleiades images



Hello

I have tiled Pleiades images (panchromatic and multispectral ) and tried to do 
pasharpening.
Firstly I have generated the mosaic image (merging the tiles), then used the 
Superimpose (setting the multi-spectral image to have the same extend and 
resolution as the panchromatic one), and then Pansharpening. But it doesn't 
work...it generates only for the upper part of the image...

I tried to do it for a single tile and it worked fine...but how can I use these 
approach on the mosaic?

Thank you
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RE: [otb-users] getting started

[Michel Julien]

Hi,

I think that you should not move the package. If you want to use OTB from 
jupyter, it is possible, you just need to launch it after running the otbenv.sh 
script to setup the proper environment variables, as explained here :

https://www.orfeo-toolbox.org/CookBook/Installation.html

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Jessica Kong
Envoyé : samedi 5 mai 2018 01:28
À : otb-users 
Objet : [otb-users] getting started

Hello,

I'd like to use the vertex component analysis capabilities in this package.

It is unclear to me how to to use this package in a python environment like 
Jupyter Notebook or Spyder.

I downloaded the package and moved it to where my other packages are and am 
able to import the package by typing 'import OTB as otb." 'otb.Modules' does 
not work either.

However, I am not sure how to access any functionality of the package. I have 
tried following the instructions 
here
 but "Registry" is no longer a directory in the package.

Any guidance would be helpful.

Thanks,
Jessica




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RE: [otb-users] Re: Relative Spectral Response File To Use For WorldView-3 Optical Calibration Atmospheric Correction?

[Michel Julien]

Hi,

Can you open a feature request for this ? So that we keep track of it.

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Morgan Bond
Envoyé : mardi 22 mai 2018 00:46
À : otb-users 
Objet : [otb-users] Re: Relative Spectral Response File To Use For WorldView-3 
Optical Calibration Atmospheric Correction?

Craig,
Did you ever get this figured out? I am also interested in optical calibration 
of WV03 images. Also, the calibration factor and effective bandwidth are 
embedded into each of the .imd files that come with the imagery from Digital 
Globe. I don't know if these are ever updated in any way, but it seems like a 
good idea to pull them directly from the .IMD file for each image when it is 
imported.

e.g. (Coastal band: absCalFactor = 6.679371e -02; effectiveBandwidth = 
4.05e -02...etc.)

Morgan



On Monday, February 19, 2018 at 8:02:52 AM UTC-8, Craig wrote:
I would like to perform atmospheric correction on WorldView-3 8-Band VNIR MSI. 
I found a radiance response file here: 
https://git.orfeo-toolbox.org/otb-data.git/tree/HEAD:/Input/Radiometry/DigitalGlobe.
 However, I do not think it is in the correct format. I believe what is 
expected is for the first column to be wavelengths in microns (not nanometers), 
the second column should be solar irradiance (not provided in the file), and 
the next columns are the spectral responses for each band.  I think I can use 
the Thuillier 2003 spectral response curve listed here: 
https://dg-cms-uploads-production.s3.amazonaws.com/uploads/document/file/207/Radiometric_Use_of_WorldView-3_v2.pdf,
 but I'm not sure what order the bands should be listed. The provided file has 
PAN, C, B, G, Y, R, RE, N1, N2, S1, S2, S3, S4, S5, S6, S7, S8. I think since I 
have just the 8-band VNIR product that I should have them in  C, B, G, Y, R, 
RE, N1, N2 order with the others excluded from the file, but I'm not sure.  
Also, what units should the spectral response values be in?  The provided file 
has them as radiance values.

Thanks,

Craig
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RE: [otb-users] Apply geometric transformation based on pithc, roll and yaw

[Michel Julien]

I do not think there is anything like that yet. Do you mean pitch, roll and yaw 
of the sensor ?

> -Message d'origine-
> De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la 
> part de Agustin Lobo
> Envoyé : jeudi 17 mai 2018 13:41
> À : otb-users@googlegroups.com
> Objet : [otb-users] Apply geometric transformation based on pithc, roll and 
> yaw
> 
> Hi!
> Is it possible to use OTB to apply a geometric transformation based on pithc, 
> roll and yaw?
> Thanks
> 
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RE: [otb-users] Worldview-2 .TIL files and OTB

[Michel Julien]

Here is something you can try :

Use otbcli_ReadImageInfo on one of the individual geotiff files (preferabily 
the upper left one, should be named R1C1 no ?) to write down a geom file 
containing the metadata. Then attach the geom file to the TIL file with 
extended filename : -in “mytil.TIL?=theGeomFile.geom”.

Also open a bug report because looking up the correct file from the TIL file 
instead of individual geotiff files should not be hard …

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Morgan Bond
Envoyé : mardi 22 mai 2018 18:10
À : otb-users 
Objet : [otb-users] Worldview-2 .TIL files and OTB

I have a large number of tiled Digital Globe Worldview-2 images that I would 
like to perform optical calibration on. As delivered from Digital Globe, each 
image strip is a folder that contains a .TIL file that arranges the individual 
geotiff files and aligns them into a single image. GDAL seems to handle these 
well, and they import fine (I am currently using Monteverdi for this). However, 
each of these folders also contains an .imd and .xml file. These files each 
contain much of the pertinent information for sensor bias, image date, sun 
angle, azimuth, etc. As far as I can tell OTB does not recognize or attempt to 
use these files. Has anyone attempted to perform these corrections with the 
tiled files from Digital Globe? Thanks,

Morgan
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RE: [otb-users] How to change default RAM limit?

[Michel Julien]

GDAL_CACHEMAX is the size of gdal cache to store blocks it already reads for 
further use. Depending on you processing chain, it may or may not be relevant.

You can try setting the chunk size yourself :

“/tmp/example1.tif?:sizemode=nbsplits:sizevalue=1”

Regards,

Julien





De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Leonardo Hardtke
Envoyé : mercredi 16 mai 2018 12:42
À : otb-users 
Objet : Re: [otb-users] How to change default RAM limit?

Thank you very much for the answer. I have a lot to learn!

Yes, my question was under the assumption that small chunks would make the 
program run slower. :). I tried setting the OTB_MAX_RAM_HINT to 4000, and could 
see an improvement (~50 %)!

leo@leo-ThinkPad-E480:~/devel/otbapps/image_segmentation/build$ export 
OTB_MAX_RAM_HINT=128
leo@leo-ThinkPad-E480:~/devel/otbapps/image_segmentation/build$ time 
./ConnectedThresholdImageFilter_NC ../test_img/fire_test.tif /tmp/example1.tif 
2073 2372 200 1500 2072 2371
2018-05-16 20:28:59 (INFO): No kwl metadata found in file 
../test_img/fire_test.tif
2018-05-16 20:28:59 (INFO): Default RAM limit for OTB is 128 MB
2018-05-16 20:28:59 (INFO): GDAL maximum cache size is 393 MB
2018-05-16 20:28:59 (INFO): OTB will use at most 8 threads
2018-05-16 20:28:59 (INFO): Estimated memory for full processing: 3.94151e+06MB 
(avail.: 128 MB), optimal image partitioning: 30794 blocks
2018-05-16 20:28:59 (INFO): File /tmp/example1.tif will be written in 32396 
blocks of 43x43 pixels

real0m20.951s
user1m3.094s
sys 0m9.747s
leo@leo-ThinkPad-E480:~/devel/otbapps/image_segmentation/build$ export 
OTB_MAX_RAM_HINT=4000
leo@leo-ThinkPad-E480:~/devel/otbapps/image_segmentation/build$ time 
./ConnectedThresholdImageFilter_NC ../test_img/fire_test.tif /tmp/example1.tif 
2073 2372 200 1500 2072 2371
2018-05-16 20:29:35 (INFO): No kwl metadata found in file 
../test_img/fire_test.tif
2018-05-16 20:29:35 (INFO): Default RAM limit for OTB is 4000 MB
2018-05-16 20:29:35 (INFO): GDAL maximum cache size is 393 MB
2018-05-16 20:29:35 (INFO): OTB will use at most 8 threads
2018-05-16 20:29:35 (INFO): Estimated memory for full processing: 3.94151e+06MB 
(avail.: 4000 MB), optimal image partitioning: 986 blocks
2018-05-16 20:29:35 (INFO): File /tmp/example1.tif will be written in 1830 
blocks of 256x128 pixels

real0m13.211s
user0m59.665s
sys 0m1.873s

I was checking htop and the process did not take 4000 mb of ram but only 1200 
mb. Also, what does GDAL cache size do?

The logs are very useful! Great addition! I am actually using the master 
version (self compiled) on ubuntu 18.04, because I tried the superbuild and it 
failed. I can try to reproduce the failure and let you know what it was.

As I mentioned, the code I am using is 
https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/blob/develop/Examples/Segmentation/ConnectedThresholdImageFilter.cxx

Do you think it could run faster by tweaking other parameters?

The plan is to replace an old IDL script that is used in my workplace to aid in 
the mapping of bushfires. Ideally I would like to implement it as a QGIS 
plugin, but the to convince my supervisor it needs to run as fast as the IDL 
code, which takes about 4 second to run.

Thanks again!






On Wednesday, May 16, 2018 at 4:18:53 PM UTC+10, Julien Michel wrote:
Hi,

You can add a RAM parameter to your application that will allow you to control 
this (AddRamParameter()). You can also set the OTB_MAX_RAM_HINT environment 
variable (this will be documented in cookbook for next release [1].

Looking at your logs (btw those logs are pretty new in OTB, congrats for using 
a bleeding edge version ;)), OTB is splitting the data into very small chunks 
(one line at a time). This is likely to be slower than larger chunks. To get 
larger chunks, you can increase the RAM parameter, but you can even set the 
chunk size yourself using extended filenames [1].

How long is the inner pipeline of your application ? If OTB decides that it can 
only process one line at a time with 128 Mb, I expect the inner pipeline to be 
quite long (or include non-streamed filters).

Hope that helps,

Julien

[1] 
https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/blob/develop/Documentation/Cookbook/rst/AdvancedUse.rst

De : otb-...@googlegroups.com 
[mailto:otb-...@googlegroups.com] De la part de Leonardo Hardtke
Envoyé : mercredi 16 mai 2018 06:47
À : otb-users 
Objet : [otb-users] How to change default RAM limit?

Dear all,
I am starting a new project and was investigating the likelihood of doing it in 
OTB. I used otb apps from python many times before but never tried to write my 
own apps. Part of my application will be based on the code 
/Examples/Segmentation/ConnectedThresholdImageFilter.cxx

It compiles and runs OK, but it is a little bit slow (8 secs) for what I need 
(interactive application with Landsat images [7591, 7731]). The info shows it 
uses only 

RE: [otb-users] Re: Fail computing KMeans Classification on ASTER/Sentinel2/Landsat-Strip images

[Michel Julien]

Thanks.

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Thibaut Voirand
Envoyé : mercredi 16 mai 2018 10:27
À : otb-users 
Objet : Re: [otb-users] Re: Fail computing KMeans Classification on 
ASTER/Sentinel2/Landsat-Strip images

It's done (https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/issues/1586)

On Wednesday, May 16, 2018 at 9:48:56 AM UTC+2, Julien Michel wrote:
Well maybe. The application should handle NaN as no data properly.

Thanks,

Julien

De : otb-...@googlegroups.com 
[mailto:otb-...@googlegroups.com] De la part de Thibaut Voirand
Envoyé : mercredi 16 mai 2018 09:39
À : otb-users 
Objet : Re: [otb-users] Re: Fail computing KMeans Classification on 
ASTER/Sentinel2/Landsat-Strip images

Hi,

Actually I found my problem: I had NaN pixels in my image. After I replaced 
them with no data values (using the ManageNoData application) the KMeans 
classification worked fine.

Is it still relevant to file a bug report?

Regards,
Thibaut

On Tuesday, May 15, 2018 at 5:32:37 PM UTC+2, Julien Michel wrote:
Hi,

Can you file a bug report ?

https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/issues

Thanks a lot,

Regards,

Julien

De : otb-...@googlegroups.com 
[mailto:otb-...@googlegroups.com] De la part de Thibaut Voirand
Envoyé : mardi 15 mai 2018 16:35
À : otb-users >
Objet : [otb-users] Re: Fail computing KMeans Classification on 
ASTER/Sentinel2/Landsat-Strip images

Hello Lucas,

I'm having the same problem on a Landsat 8 image.
Did you find a solution?

Thanks
Thibaut

On Monday, February 12, 2018 at 1:58:46 PM UTC+1, DAVAZE Lucas wrote:
Hi,

I'm currently trying to process an unsupervised classification on ASTER, 
Sentinel2 and Stripped Landsat images that receive preliminary corrections 
(cloud filtering, topographic correction, band ratio etc...). However, the 
classification fails and I get the following message when using OTB from the 
commandline (I get the same from the GUI version).

Error when loading model 
S2A_OPER_MSI_L1C_TL_SGS__20160823T173537_A006111_T31TGL_RATIO2_TopCor_Res_30_clip_clean_KMEAN.tif_model.txt

It seems that this .txt is the problem but I don't understand why. The classif 
works on non-stripped landsat images that receive exactly the same processing 
chain that the ASTER, S2A and stripped Landsat.

Do you know how I can make it work ?

I attached the files for which the classif is not working.

Thanks in advance,

Lucas.

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RE: [otb-users] Re: Fail computing KMeans Classification on ASTER/Sentinel2/Landsat-Strip images

[Michel Julien]

Well maybe. The application should handle NaN as no data properly.

Thanks,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Thibaut Voirand
Envoyé : mercredi 16 mai 2018 09:39
À : otb-users 
Objet : Re: [otb-users] Re: Fail computing KMeans Classification on 
ASTER/Sentinel2/Landsat-Strip images

Hi,

Actually I found my problem: I had NaN pixels in my image. After I replaced 
them with no data values (using the ManageNoData application) the KMeans 
classification worked fine.

Is it still relevant to file a bug report?

Regards,
Thibaut

On Tuesday, May 15, 2018 at 5:32:37 PM UTC+2, Julien Michel wrote:
Hi,

Can you file a bug report ?

https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/issues

Thanks a lot,

Regards,

Julien

De : otb-...@googlegroups.com 
[mailto:otb-...@googlegroups.com] De la part de Thibaut Voirand
Envoyé : mardi 15 mai 2018 16:35
À : otb-users 
Objet : [otb-users] Re: Fail computing KMeans Classification on 
ASTER/Sentinel2/Landsat-Strip images

Hello Lucas,

I'm having the same problem on a Landsat 8 image.
Did you find a solution?

Thanks
Thibaut

On Monday, February 12, 2018 at 1:58:46 PM UTC+1, DAVAZE Lucas wrote:
Hi,

I'm currently trying to process an unsupervised classification on ASTER, 
Sentinel2 and Stripped Landsat images that receive preliminary corrections 
(cloud filtering, topographic correction, band ratio etc...). However, the 
classification fails and I get the following message when using OTB from the 
commandline (I get the same from the GUI version).

Error when loading model 
S2A_OPER_MSI_L1C_TL_SGS__20160823T173537_A006111_T31TGL_RATIO2_TopCor_Res_30_clip_clean_KMEAN.tif_model.txt

It seems that this .txt is the problem but I don't understand why. The classif 
works on non-stripped landsat images that receive exactly the same processing 
chain that the ASTER, S2A and stripped Landsat.

Do you know how I can make it work ?

I attached the files for which the classif is not working.

Thanks in advance,

Lucas.

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RE: [otb-users] Question about OrthoRectification

[Michel Julien]

Yes, RefineSensorModel is the only way to add gcps, and (x,y) refers to image 
coordinates.

Regards,

Julien

> -Message d'origine-
> De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la 
> part de felicia monti
> Envoyé : mardi 15 mai 2018 17:55
> À : otb-users 
> Objet : RE: [otb-users] Question about OrthoRectification
> 
> Yes, you must enter? & Skipcarto = true & geom =. However I have a question 
> about the Gcps. Can I enter the ground control points
> only through the RefineSensorModel? Or is there another way to orthorectify 
> using gcps? I have seen that the ground control points
> are inserted in the form x y lon lat, but the coordinates x y are image 
> coordinates? Or cartographic coordinates?
> Thank you
> 
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RE: [otb-users] How to change default RAM limit?

[Michel Julien]

Hi,

You can add a RAM parameter to your application that will allow you to control 
this (AddRamParameter()). You can also set the OTB_MAX_RAM_HINT environment 
variable (this will be documented in cookbook for next release [1].

Looking at your logs (btw those logs are pretty new in OTB, congrats for using 
a bleeding edge version ;)), OTB is splitting the data into very small chunks 
(one line at a time). This is likely to be slower than larger chunks. To get 
larger chunks, you can increase the RAM parameter, but you can even set the 
chunk size yourself using extended filenames [1].

How long is the inner pipeline of your application ? If OTB decides that it can 
only process one line at a time with 128 Mb, I expect the inner pipeline to be 
quite long (or include non-streamed filters).

Hope that helps,

Julien

[1] 
https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/blob/develop/Documentation/Cookbook/rst/AdvancedUse.rst

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Leonardo Hardtke
Envoyé : mercredi 16 mai 2018 06:47
À : otb-users 
Objet : [otb-users] How to change default RAM limit?

Dear all,
I am starting a new project and was investigating the likelihood of doing it in 
OTB. I used otb apps from python many times before but never tried to write my 
own apps. Part of my application will be based on the code 
/Examples/Segmentation/ConnectedThresholdImageFilter.cxx

It compiles and runs OK, but it is a little bit slow (8 secs) for what I need 
(interactive application with Landsat images [7591, 7731]). The info shows it 
uses only 128 Mb of RAM while I have at least 4 Gb of RAM free:

2018-05-16 14:33:10 (INFO): No kwl metadata found in file fire_test.tif
2018-05-16 14:33:10 (INFO): Default RAM limit for OTB is 128 MB
2018-05-16 14:33:10 (INFO): GDAL maximum cache size is 393 MB
2018-05-16 14:33:10 (INFO): OTB will use at most 8 threads
2018-05-16 14:33:10 (INFO): Estimated memory for full processing: 3.94151e+06MB 
(avail.: 128 MB), optimal image partitioning: 30794 blocks
2018-05-16 14:33:10 (INFO): File fire_segment.tif will be written in 30924 
blocks of 1898x1 pixels

How do I configure the amount of RAM that the application uses?

Thanks in advance!

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RE: [otb-users] Question about Haralick Texture Extraction

[Michel Julien]

Hi,


-The only channel that will be processed is the one selected in 
parameter

-You are right about orientations

-Regarding output image, it will contains several bands (one per 
haralick feature) but you do not have to do anything to select that, it is 
automatic.
If you think that the application documentation is not precise enough, you can 
file a documentation change request here :

https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/issues

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Aïnhoa HERBLOT
Envoyé : lundi 14 mai 2018 13:01
À : otb-users 
Objet : [otb-users] Question about Haralick Texture Extraction

Hello,


I wish to use the tool "Haralick Texture Extraction" of OTB. I would need 
information on some parameters :

  * Input Image : Is it possible to work on a multi spectral image? The 
operation is made on all the channels or only on that selected? Or, should the 
image be in gray level?

• *  For orientation (x / Y offset): does the parameter work 
this way?

o   0° --> X=1, Y=0

o   45° --> X=1, Y=1

o   90° --> X=0, Y=1 …

•*  Outpout Image : Should the output image be in gray level or 
color?



Thanks for your help,

Aïnhoa H
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RE: [otb-users] Re: OGRLayerClassifier

[Michel Julien]

Hi,

Is the process running to the end despite of the error message ? Sometimes gdal 
reports errors but the process succeeds.

In any case, can you file a bug report with an extract of your shp file ?

https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/issues

Thanks a lot,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Alzira Ramos
Envoyé : mardi 15 mai 2018 15:30
À : otb-users 
Objet : [otb-users] Re: OGRLayerClassifier


Hi!
Did you known what was the problem?
Best reards,
Alzira

segunda-feira, 15 de Maio de 2017 às 16:22:36 UTC+2, Salah eddine AIT AHTMAN 
escreveu:
Hi,

I'm trying to get the classification (OGRLayerClassifier) of my vector layer 
outcome from the LSMS Segmentation by using an svm model generated with 
TrainVectorClassifier , but when i run the processing i get ERROR 1: Invalid 
index : -1

there is my shell command:
 "otbcli_OGRLayerClassifier -inshp LSMSSegmentation.shp -instats meanVar.xml 
-insvm svm_model.svm -feat meanB0 meanB1 meanB2 -cfield predicted "

Thanks for reply
Salah eddine.
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RE: [otb-users] Re: Fail computing KMeans Classification on ASTER/Sentinel2/Landsat-Strip images

[Michel Julien]

Hi,

Can you file a bug report ?

https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/issues

Thanks a lot,

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Thibaut Voirand
Envoyé : mardi 15 mai 2018 16:35
À : otb-users 
Objet : [otb-users] Re: Fail computing KMeans Classification on 
ASTER/Sentinel2/Landsat-Strip images

Hello Lucas,

I'm having the same problem on a Landsat 8 image.
Did you find a solution?

Thanks
Thibaut

On Monday, February 12, 2018 at 1:58:46 PM UTC+1, DAVAZE Lucas wrote:
Hi,

I'm currently trying to process an unsupervised classification on ASTER, 
Sentinel2 and Stripped Landsat images that receive preliminary corrections 
(cloud filtering, topographic correction, band ratio etc...). However, the 
classification fails and I get the following message when using OTB from the 
commandline (I get the same from the GUI version).

Error when loading model 
S2A_OPER_MSI_L1C_TL_SGS__20160823T173537_A006111_T31TGL_RATIO2_TopCor_Res_30_clip_clean_KMEAN.tif_model.txt

It seems that this .txt is the problem but I don't understand why. The classif 
works on non-stripped landsat images that receive exactly the same processing 
chain that the ASTER, S2A and stripped Landsat.

Do you know how I can make it work ?

I attached the files for which the classif is not working.

Thanks in advance,

Lucas.

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RE: [otb-users] Question about OrthoRectification

[Michel Julien]

Can you try this one ?

https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb-data/blob/master/Input/DEM/egm96.grd

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de felicia monti
Envoyé : vendredi 4 mai 2018 15:23
À : otb-users 
Objet : Re: [otb-users] Question about OrthoRectification


Hi! Thanks for the quick reply. In fact   I used dem respect to the geoid. So, 
I added the EGM96 Geoid Model as a geoid file (The Trimble Format GGF file: 
Ww15mgh.ggf). Unfortunately, the result does not change. Where am I wrong?

Thank you


Le jeudi 3 mai 2018 13:01:45 UTC+2, Julien Michel a écrit :
Hi,

Is your DEM with respect to ellipsoid or geoid ? All computation in OTB are 
done with respect to the ellispoid, so if your DEM is with respect to geoid, 
you need to add a geoid file.

Regards,

Julien


De : otb-...@googlegroups.com 
[mailto:otb-...@googlegroups.com] De la part de felicia monti
Envoyé : jeudi 3 mai 2018 12:01
À : otb-users 
Objet : [otb-users] Question about OrthoRectification


Hello all,

I'm a graduating student and for my dissertation I'm trying to orthorectify a 
QuickBird satellite image, which I think is an ortho-ready product, so I add 
the "?=true" at the end of the input image filename.

First, I used the application otbgui_ReadImageInfo and I got:


Image general informations:

Number of bands : 1

Start index : [0,0]

Size : [21948,17320]

Origin : [0.5,0.5]

Spacing : [1,1]

Estimated ground spacing (in meters): [0.698578,0.701359]



Image acquisition informations:

Sensor :

Image identification number:

Country : Italy

Town : Cretaio



Image footprint coordinates:

Upper left corner (latitude, longitude) = [40.7882,13.8442]

Upper right corner (latitude, longitude) = [40.7899,14.0263]

Lower left corner (latitude, longitude) = [40.679,13.8461]

Lower right corner (latitude, longitude) = [40.6807,14.0278]



Image default RGB composition:

[R, G, B] = [0,1,2]



Ground control points information:

Number of GCPs = 0

GCPs projection =





instead the dem I'm using is:



Image general informations:

Number of bands : 1

Start index : [0,0]

Size : [20001,12001]

Origin : [13.8509,40.7616]

Spacing : [5.80956e-006,-5.79988e-006]

Estimated ground spacing (in meters): [0.489746,0.644903]



Image acquisition informations:

Sensor :

Image identification number:

Image projection : GEOGCS["WGS 84",

DATUM["WGS_1984",

SPHEROID["WGS 84",6378137,298.257223563,

AUTHORITY["EPSG","7030"]],

AUTHORITY["EPSG","6326"]],

PRIMEM["Greenwich",0],

UNIT["degree",0.0174532925199433],

AUTHORITY["EPSG","4326"]]



Image default RGB composition:

[R, G, B] = [0,1,2]



Ground control points information:

Number of GCPs = 0

GCPs projection =



at the end of the orthorectification with otbgui_OrthoRectification I get the 
image correctly orthorectified, but moved about 40 m to the North-East. What is 
the reason for this shift?



Thank you in advance

Felicia
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RE: [otb-users] Atmospheric Correction and Water Correction of a Orthorectificated Pleiade image (Pan + MS)

[Michel Julien]

Hi,

If your PHR image is an official product from ADS, all you need to do is to 
input it to the optical calibration application. There is a recipe in the 
cookbook for that :

https://www.orfeo-toolbox.org/CookBook/recipes/optpreproc.html

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Pasquale Lanera
Envoyé : lundi 23 avril 2018 10:19
À : otb-users 
Objet : [otb-users] Atmospheric Correction and Water Correction of a 
Orthorectificated Pleiade image (Pan + MS)

Hi
Could someone help me with the Atmospheric Correction and Water Coloumn 
Correction of a Orthorectificated Pleiade  image (Pan + MS) ?
I have QGIS with OrpheoToolBox Installed plug-in.

Thanks

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RE: [otb-users] Can't use otbcli_LargeScaleMeanShift from Ubuntu terminal

[Michel Julien]

Hi,

You need to source the otbenv.profile file at the root of the installation 
folder :

$ . ./otbenv.profile

Or

$ source otbenv.profile

To get all the environment variables correctly set.

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Piripkura
Envoyé : mardi 27 mars 2018 18:44
À : otb-users 
Objet : [otb-users] Can't use otbcli_LargeScaleMeanShift from Ubuntu terminal


First of all, receive a warm greeting. I'm trying to perform segmentations from 
the linux terminal (Ubuntu 16.04) with the otbcli_LargeScaleMeanShift function, 
however, when I call it says "The order was not found", but from mapla it runs 
normally.
I just downloaded OTB-6.4.0-Linux64 and unzipped it. Do I need to create an 
environment for this function or compile it in some way? Thanks in advance.
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RE: [otb-users] GenerateRPCSensorModel Error

[Michel Julien]

Hi,

I agree this is not documented correctly. Can you open a documentation request 
in gitlab (www.gitlab.orfeo-toolbox.org, 
open an issue with the documentation template) so that we keep track of it ?

According to code : 
https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb/blob/develop/Modules/Applications/AppProjection/app/otbGenerateRPCSensorModel.cxx#L137

The format should be x y lon lat (separated by spaces)

The z field is currently retrieved from an external DSM that you can set with 
–elev.dem (do not forget to also add a the geoid file –elev.geoid ). We could 
easily patch the code to also support the case where the z field is provided. 
Can you file a feature request as well ?

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de PhuongHX
Envoyé : jeudi 22 mars 2018 06:16
À : otb-users 
Objet : [otb-users] GenerateRPCSensorModel Error


Hello all,
I try to run the Generate RPC Sensor Model but has found an error in the log.
I don't know how to fix it
Here is my example of tie point, full point attachment file
11885847.80058982782065868,1193436.35299684409983456,106.77561654270384395,10.65910942807095552
11886563.03148019686341286,1191977.08330521709285676,106.78206720838360866,10.64644966640341472
11886565.68048349395394325,1192369.13579327845945954,106.78218799322958432,10.64977879872028055
11893423.95002126693725586,1190022.11887150607071817,106.84390150046394297,10.6297209652374

And Log message
2018-03-22 11:42:51 (INFO): otbcli_GenerateRPCSensorModel.bat -outgeom 
D:/FIMO/SaiGon/rpc -inpoints D:/FIMO/SaiGon/ponits.txt -map wgs

2018-03-22 11:42:51 (INFO): Elevation management: setting default height above 
ellipsoid to 0 meters
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18858e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18866e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18866e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18934e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.1893e+07, y=8.40891e-312, z=0, 
lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18899e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18921e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18889e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18856e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18854e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.1883e+07, y=8.40891e-312, z=0, 
lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18807e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18804e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18808e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.188e+07, y=8.40891e-312, z=0, 
lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18792e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18931e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18938e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.1892e+07, y=8.40891e-312, z=0, 
lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18914e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18844e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18831e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.1882e+07, y=8.40891e-312, z=0, 
lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18919e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18919e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18813e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18798e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18784e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18769e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding tie point x=1.18776e+07, y=8.40891e-312, 
z=0, lon=0, lat=6.95202e-310
2018-03-22 11:42:51 (INFO): Adding 

RE: [otb-users] Fine Registration usage question

[Michel Julien]

Hi,

I think you can use the BlockMatching app [1] and connect its output to 
GridBasedImageResampling app [2].

Regards,

Julien

[1] https://www.orfeo-toolbox.org/CookBook/Applications/app_BlockMatching.html

[2] 
https://www.orfeo-toolbox.org/CookBook/Applications/app_GridBasedImageResampling.html

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de hi...@earthlinginteractive.com
Envoyé : mardi 13 mars 2018 20:51
À : otb-users 
Objet : [otb-users] Fine Registration usage question

Hi everyone,

I have a question about how to output a warped image using the Fine 
Registration application. Currently the only way I have gotten the "Output 
Warped Image" option ("w" and "wo" parameters) to work is if I first run 
FineRegistration to create an Output image ("out" option) *without* the 
"w"/"wo" options, and then run FineRegistration a second time, passing the same 
Output image filename (which now exists from the previous run), and this time 
passing a "w" option (existing image to which I want the registration 
correction to be applied) and "wo" option (warped image to be created).

That seems counterintuitive to me. Shouldn't I be able to pass "w" and "wo" on 
the first run, and the "w" image would be warped using the result of the run? 
Currently when I try this, OTB will fail complaining that the "out" image does 
not already exist.

Also, is it possible to apply warping to an image using an existing "out" 
image, without first computing the disparity map? It seems like this would be 
useful if I want to perform the same warp on several bands without having to 
compute the disparity map for every band.

Any help would be really appreciated!
Thanks,
Mike Hiley
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RE: [otb-users] Re: Processing time issues!? Image size limitation of OTB?

[Michel Julien]

Julien is right,

MeanShift segmentation cannot be streamed, and it will be time consuming. You 
can use the LSMS workflow to get large images processed. There is a recipe in 
CookBook for that :

https://www.orfeo-toolbox.org/CookBook/recipes/improc.html#large-scale-mean-shift-lsms-segmentation

But processing time will still be quite long for this image size.

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Julien Radoux
Envoyé : mardi 6 mars 2018 07:43
À : otb-users 
Objet : [otb-users] Re: Processing time issues!? Image size limitation of OTB?

Hello,

for large images, there is a four step process called "Large Scale Mean Shift 
segmentation. You can find a tutorial in here : 
https://www.orfeo-toolbox.org/CookBook/Applications/app_LargeScaleMeanShift.html

Note that mean shift segmentation is very time consuming, so it is difficult to 
accelerate. On the other hand, streaming is usually activated by default in OTB 
filters, but it works best for pixel based or block based analysis, while 
segmentation needs to keep information about the surrounding pixels at an 
undefined distance, so the memory handling is much more complex (if you don't 
want to see tiles).

Le lundi 5 mars 2018 14:01:50 UTC+1, nouha touihri a écrit :

Hello  all!
I'm trying to segment a pléiade image and  my study area is 123 km^2 = 22000 x 
22000 pixels. The segmentation (meanshift) algorithm is taking more than a week 
now and didn't bypasse 28% of the process! I'm using a work station dell e5! on 
the otb cookbook documentation, the image size limitation of OTB is mentioned 
and they said that this limitation can be bypassed thanks to the streaming 
mechanism implemented within OTB’s pipeline (actually ITK’s). does anyone know 
what OTB’s pipeline means ? how to bypassed the processing time problem?

Best,

Nouha,
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RE: [otb-users] tree canopy mapping/object counting,..

[Michel Julien]

I think that currently the best option is to segment images with Large Scale 
MeanShift (see cookbook LSMS recipe) and then do some gis reasoning. You can 
have a look at this part of OTB courses, which does something similar :

https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb-documents/blob/master/Courses/org/WorkshopGuide/segmentation-en.org

Note that we have a remote module in preparation that will allow for more 
segmentation algorithms to be used on large images.

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Martin Brandt
Envoyé : lundi 12 mars 2018 23:08
À : otb-users 
Objet : [otb-users] tree canopy mapping/object counting,..

Dear all,

I'd like to use OTB for isolating tree canopies as objects from Worldview-2, 
GeoEye-1 and Quickbird-2 images. I see there is quite some documentation on 
object extraction/labeling tools also integrated in Monteverdi online, but it 
seems to be dropped in the new versions? Or can it now be found under a 
different name?

thanks for your help,
Martin
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RE: [otb-users] Re: OTB producing different orthorectification result than ERDAS in pleiades images

[Michel Julien]

Sorry I missed your messages, I could have told you that. Where is the part of 
the doc that says that geoid is not mandatory when using DEM ? I will try to 
fix it. Note that this all depend on what your DEM height convention is.

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de emre
Envoyé : jeudi 8 mars 2018 18:06
À : otb-users 
Objet : [otb-users] Re: OTB producing different orthorectification result than 
ERDAS in pleiades images

At the end, we fixed the problem by using egm96 geiod file. OTB developers may 
want to change the documentation where it says if you have dem, you dont need 
geoid. After reading quite some ossim code, i realized that is definitely not 
the case. The heightaboveellipsoide is calculated from both geoid and the 
elevation file.

Cheers
Emre

On Wednesday, March 7, 2018 at 3:10:33 PM UTC+3, emre wrote:
Here is some further analysis. After creating demhandler, i created an 
ossimPleiadesModel and opened the image so that the keywordlist is loaded. I 
tried couple of image points such as (0,0) with lineSampletoWorld and obtained 
exactly the same coordinates as rectification. That means, rectification is 
using this method deep inside. In the end, intersectRay is finding the position 
and it is an iterative method. The question is, why orfeo is finding a 
different coordinate than erdas. Any idea is much welcome.

All the best
Emre
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RE: [otb-users] HomologousPointsExtraction

[Michel Julien]

Hi,

It is rather difficult to answer this question, it depends on the landscape, 
acquisition date, angles … If the two images are acquired on the same date, 
there should be more point … Did you try to play with parameters a bit ?

Also I see that you are using pansharpened (PMS) data, they are not the best 
for stereo-reconstruction …

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de anamaria.loghi...@gmail.com
Envoyé : vendredi 2 mars 2018 19:40
À : otb-users 
Objet : [otb-users] HomologousPointsExtraction


Dear otb-users,

I'm also trying to apply the otb toolbox for a stereoscopic reconstruction, 
based on Pleiades images.
I have applied the HomologousPointsExtraction using the calibrated satellite 
images (calibrated with  otbcli_OpticalCalibration, te top of canopy level).

This is my line command:
otbcli_HomologousPointsExtraction -in1 
"P:\Projects\Bild_001\DIM_PHR1B_PMS_201706131009515_SEN_2360439101-001_1.tif?=true"
 -in2 
"P:\Bild_002\DIM_PHR1B_PMS_201706131010111_SEN_2360439101-002_1.tif?=true"
 -algorithm surf -mode geobins -mode.geobins.binstep 512 -mode.geobins.binsize 
512 -mfilter 1 -precision 20 -2wgs84 1 -out 
P:\Projects\IMAGE_MATCHING\homologous_points.txt -outvector 
P\IMAGE_MATCHING\points.shp -elev.dem 
"P:\Projects\IMAGE_MATCHING\DEM\DEM10m\DTM.tif" -elev.geoid 
"P:\Projects\EGM96\egm96.grd"

I have as result the 'homologous_points.txt' file containing only 7 
points.is that fine? shouldn't be many more points? The result file is in 
the attachment.
Please, if anyone knows this and can answer me I would be grateful.

Thank you

Best,
Ana
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RE: [otb-users] Contrast Enhancement of Satellite Imagery article?

[Michel Julien]

Hi,

The new application will be available in OTB 6.4, which is preparation. You can 
try the latest nightly packages if you wan to give it a try  :
https://www.orfeo-toolbox.org//packages/nightly/latest/

Otherwise, release 6.4 should be available by the end of the month.

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Frank Obusek
Envoyé : jeudi 4 janvier 2018 20:53
À : otb-users 
Objet : [otb-users] Contrast Enhancement of Satellite Imagery article?

Hello!
I read through this article on Contrast Enhancement that was posted on Dec 
17th.  The article mentions the Contrast Enhancement Application but I do not 
see it listed in OTB.  I have searched the obvious options, but still cannot 
find a similar function.   Is this coming in a future release?
https://www.orfeo-toolbox.org/contrast-enhancement-for-fun-and-profit/

Thank you!

Frank Obusek


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RE: [otb-users] Monteverdi.bat failed to launch?

[Michel Julien]

Hi Frank,

Unfortunately I am not very familiar with windows, so I can not help much. 
Monteverdi saves and restores its widget layout. It seems that in your case it 
fails to restore its layout (maybe because of the version change). There must 
be a qt properties file somewhere … Anyway this is most likely a bug, because 
the behavior if the software fails to restore the layout should be to switch 
back to the default layout, so please file a bug report here :

bugs.orfe-toolbox.org

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Frank Obusek
Envoyé : mercredi 20 décembre 2017 04:46
À : otb-users 
Objet : [otb-users] Monteverdi.bat failed to launch?

Hey OTBers!
I am new to OTB.  I have been an ERDAS user for about 20 years. I have 
previously worked for ERDAS and Hexagon Geospatial. I hope to implement many of 
my workflows and flush out the machine learning hype.

I just downloaded 6.02 for Windows 10.  I've gone through the documentation.  
For now, I am using the non-developer option and launching the tools from the 
.bat files contained in the zip download.
I continue to get a "failed to restore window layout!" when launching 
monteverdi.bat.   5.8 worked fine.

Any thoughts?

Frank Obusek

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RE: [otb-users] otbcli_RefineSensorModel + orthorectification for pan and MS

[Michel Julien]

Indeed, pansharpening before co-registration would be a better choice (at least 
for Pleiades), since it corrects the slight offset that might happen between 
PAN and XS. You can detect tie points with the pan image and then refine the 
model from pansharpened image.

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de André Stumpf
Envoyé : vendredi 19 mai 2017 14:35
À : otb-users
Objet : [otb-users] otbcli_RefineSensorModel + orthorectification for pan and MS

Hi there,

I'm using OTB to co-register multi-temoral images (SPOT6/7) as documented here: 
https://www.orfeo-toolbox.org/CookBook/recipes/residual_registration.html

A question arises since the raw data is often distributed with separated 
panchromatic and bands. At the moment I run the co-registration (tiepoint 
detection > refinement > orthorectification) separately for the panchromatic 
and multi-spectral bands but wonder if pansharpening before the coregistration 
(e.g. using otbcli_BundleToPerfectSensor) would be a better choice. Anyone has 
an experience to share?

Cheers,
André
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RE: [otb-users] Re: otbcli_TrainImagesClassifier

[Michel Julien]

This behaviour can have multiple causes related to how you build OTB on your 
system.

What version of OTB do you build ? Is it a clean (from scratch) build ? Or did 
you git pull & make several time in the same build directory ?

Can you post the result of

$ ls lib/ (in build directory)
$ ldd lib/otb/applications/libOTBTrainImagesClassifier.so (in build directory)

And also give some more details on which third party libs you are using ?

Regards,

Julien



De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Benoit Beguet
Envoyé : mercredi 1 février 2017 09:24
À : otb-users
Objet : [otb-users] Re: otbcli_TrainImagesClassifier

Hi,
to complete my previous message, I have this weird behavior:

"the app is not able to display me all the parameters and stop with a 
segmentation fault"

with only those 3 applications :

otbcli_TrainImagesClassifier
otbcli_TrainRegression
otbcli_TrainVectorClassifier

and this one works well :
otbcli_TrainOGRLayersClassifier
any idea ?
thanks in advance,
BB




2017-01-31 16:09 GMT+01:00 Benoit Beguet 
>:
Hello,
I'v just install otb on a xubuntu 16.04, everything works great (every otb app, 
compiling personal otb code...) except the otbcli_TrainImagesClassifier.
When i launch it, even with no parameters, the app is not able to display me 
all the parameters and stop with a segmentation fault (same behaviour with good 
parameters). I attach a screenshot of it, it's the first time I have this 
problem and I don't understand it at all
any help will be highly appreciated !
thanks in advance,
BB

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RE: [otb-users] LMSVectorization: no effect of number of tiles?

[Michel Julien]

I think that most of the time spent in this step is about building a segment 
map, and it takes time no matter how much tiles you are using. True, we should 
branch the nbtiles=1 case.

> -Message d'origine-
> De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com]
> De la part de Agustin Lobo
> Envoyé : mardi 31 janvier 2017 13:18
> À : otb-users@googlegroups.com
> Objet : [otb-users] LMSVectorization: no effect of number of tiles?
> 
> I'm trying to optimize the execution time of LMSVectorization.
> I've noted that most time is spent at the "Merging polygons across tiles"
> phase, so I've increased tilesize: The point is that this step takes the same
> time no matter the tilesize value (and hence, the nb of tiles). I can increase
> tilesize until I have only 1 tile, but still have a "Merging polygons across 
> tiles"
> phase (despite I have only 1 !!) and it takes as if I had 16 tiles...
> 
> $ /home/alobo/OTB-5.8.0-Linux64/bin/otbcli_LSMSVectorization
> -in PCA/WV3sub1PCA.tif
> -inseg segmentation_merged.tif
> -out WV3sub1PCAMSS_r100_s5_R5_S5_m0_m20.shp
> -tilesizex 4096 -tilesizey 4096
> 
> 2017 Jan 31 13:06:53  :  Application.logger  (INFO) Number of tiles: 1 x 1
> Retrieve region count...: 100%
> [**] (0.7
> seconds)
> 2017 Jan 31 13:06:54  :  Application.logger  (INFO) Vectorization ...
> 2017 Jan 31 13:07:12  :  Application.logger  (INFO) Merging polygons across
> tiles ...
> 2017 Jan 31 13:10:42  :  Application.logger  (INFO) Elapsed time: 187.29
> seconds
> 
> Any idea of why?
> 
> Agus
> 
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RE: [otb-users] TrainVectorClassifier does not accept a file list

[Michel Julien]

OTB does not just follow your desires, it is way ahead already !

>From [1] : The application TrainVectorClassifiers now supports several files 
>in input (and for validation).

[1] 
http://wiki.orfeo-toolbox.org/index.php/Request_for_Changes-58:_Sampling_on_multiple_images

-Message d'origine-
De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Jordi Inglada
Envoyé : lundi 12 septembre 2016 16:58
À : otb-users
Objet : [otb-users] TrainVectorClassifier does not accept a file list

Hi,

We are happily using the new classification framework and have found a small 
thing which could be improved. The old TrainImagesClassifier accepted a list of 
images and a list of vector files as input for the training. However, the new 
TrainVectorClassifier only accepts a single file instead of a list of files for 
the samples.

It is not hard to merge several vector files before performing the training, 
but this generates a temporary file which can sometimes be very large (about 
18GB in our case). 

What do you think about updating the application to deal with lists of files?

Thank you.

Jordi

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RE: [otb-users] Shape attributes after segmentation

[Michel Julien]

Hi,



Those attributes are currently not computed in the LSMS framework. You can 
always write some code using the LabelObject* classes to compute them from the 
label image output of the LSMS framework. It will work to some extent if your 
computer is big enough : the problem is that those classes read the whole image 
into memory. This also explains why it is not available in LSMS, since the 
whole point of LSMS is to get rid of memory limitations.



Regards,



Julien


De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Darell van der Voort
Envoyé : lundi 27 juin 2016 10:05
À : otb-users
Objet : [otb-users] Shape attributes after segmentation

Hi,

I'm using the Exact Large-Scale Mean-Shift segmentation framework to 
successfully segment my images. As an output I get the raster with regions and 
the shapefile which contains an attribute table with some radiometric 
attributes. I am looking for the most efficient way to also get the shape 
attributes from my segmented image.
Is there a build-in function to compute the shape attributes which are also 
available through itkShapeLabelObject 
(https://itk.org/Doxygen/html/itkShapeLabelObject_8h_source.html)? I know that 
when using the CC segmentation it is possible to use these attributes as an 
OBIA expression with the following syntax: 'SHAPE_Elongation, SHAPE_perimeter 
etc..'. I would like to have these attributes either in the shapefile or as an 
raster attribute table.

Also, is it possible to get information on texture (smoothness, local 
homogeneity) and relation to neighbors, subobjects and superobjects using one 
of the Orfeo tools? Other Python libraries are also welcome! I am now using 
regionprops from the skimage library to compute shape attributes.

Many thanks in advance.

Kind regards,
Darell
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RE: [otb-users] Adapt OTB wavelet transform to ITK

[Michel Julien]

Ok, I think point 1) should be discussed with OTB PSC (move thread to 
otb-developers), to see how to best do the code migration.

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Grégoire MERCIER
Envoyé : vendredi 20 mai 2016 10:39
À : otb-users@googlegroups.com
Objet : Re: [otb-users] Adapt OTB wavelet transform to ITK

To answer point 2), I agree!

Regards
Grégoire Mercier



De: "Michel Julien" <julien.mic...@cnes.fr<mailto:julien.mic...@cnes.fr>>
À: otb-users@googlegroups.com<mailto:otb-users@googlegroups.com>
Envoyé: Vendredi 20 Mai 2016 10:31:35
Objet: RE: [otb-users] Adapt OTB wavelet transform to ITK

I see no objection that a generic function of OTB migrate to ITK. We already 
did such contributions by the past and after all, we benefit a lot from ITK in 
OTB, so it is just paying back.

However, I am concerned about 2 things :


1)  What would be very bad is to duplicate code between ITK and OTB. If ITK 
is to integrate the wavelet code, it should be removed from OTB (we can leave a 
proxy class for backward compatibility).

2)  CNES is not the copyright owner of the Wavelet code. Gregoire Mercier 
is (as stated in the header files). So I am not in position to agree or 
disagree on anything regarding republishing this code under a different 
licence. You must ask the copyright owner.

We are planning to change OTB licence to Apache 2.0 quite soon, so there will 
be no more licence obstacle. However, my first point is still valid as a rule 
of thumbs : please do not duplicate code.

Regards,

Julien Michel



De : otb-users@googlegroups.com<mailto:otb-users@googlegroups.com> 
[mailto:otb-users@googlegroups.com] De la part de Rashad Kanavath
Envoyé : vendredi 20 mai 2016 10:21
À : OTB Users
Objet : Re: [otb-users] Adapt OTB wavelet transform to ITK



On Thu, May 19, 2016 at 4:25 AM, Pablo Hernandez 
<pableras.h...@gmail.com<mailto:pableras.h...@gmail.com>> wrote:
Hello! I am looking for implementation of wavelet transform in c++, and found 
your nice code about it.

I wonder if it is possibly to adapt and submit your wavelet approach to ITK, 
ITK license is not GPL though.
I just wanted to ask you if I can reuse your code in a ITK submission. For my 
case including a OTB dependency just for the wavelet transform is a bit too 
much.
Thanks for your time.

OTB code is licensed under CeCILLv2 license. see full text here - 
http://www.cecill.info/licences/Licence_CeCILL_V2-en.html
I suggest you read the full article first.
You must also check with ITK about putting code under CeCILLv2 in their source 
tree.

Pablo
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   Rashad
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RE: [otb-users] Adapt OTB wavelet transform to ITK

[Michel Julien]

I see no objection that a generic function of OTB migrate to ITK. We already 
did such contributions by the past and after all, we benefit a lot from ITK in 
OTB, so it is just paying back.

However, I am concerned about 2 things :


1)  What would be very bad is to duplicate code between ITK and OTB. If ITK 
is to integrate the wavelet code, it should be removed from OTB (we can leave a 
proxy class for backward compatibility).

2)  CNES is not the copyright owner of the Wavelet code. Gregoire Mercier 
is (as stated in the header files). So I am not in position to agree or 
disagree on anything regarding republishing this code under a different 
licence. You must ask the copyright owner.

We are planning to change OTB licence to Apache 2.0 quite soon, so there will 
be no more licence obstacle. However, my first point is still valid as a rule 
of thumbs : please do not duplicate code.

Regards,

Julien Michel



De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Rashad Kanavath
Envoyé : vendredi 20 mai 2016 10:21
À : OTB Users
Objet : Re: [otb-users] Adapt OTB wavelet transform to ITK



On Thu, May 19, 2016 at 4:25 AM, Pablo Hernandez 
> wrote:
Hello! I am looking for implementation of wavelet transform in c++, and found 
your nice code about it.

I wonder if it is possibly to adapt and submit your wavelet approach to ITK, 
ITK license is not GPL though.
I just wanted to ask you if I can reuse your code in a ITK submission. For my 
case including a OTB dependency just for the wavelet transform is a bit too 
much.
Thanks for your time.

OTB code is licensed under CeCILLv2 license. see full text here - 
http://www.cecill.info/licences/Licence_CeCILL_V2-en.html
I suggest you read the full article first.
You must also check with ITK about putting code under CeCILLv2 in their source 
tree.


Pablo
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RE:[otb-users] Issues with OpenCV SVM implementation

[Michel Julien]

Hi,

Here is another suggestion : completely remove the OpenCV/SVM classifier from 
the train application, and add a statement in the SVMMachineLearningModel 
doxygen documentation to warn that the LibSVM implementation should be prefered.

Regards,

Julien

De : otb-users@googlegroups.com [otb-users@googlegroups.com] de la part de 
Jordi Inglada [jordi.ingl...@cesbio.eu]
Envoyé : mardi 10 novembre 2015 12:23
À : otb-developers; otb-users
Objet : [otb-users] Issues with OpenCV SVM implementation

Dear all,

Thanks to Mathieu Fauvel, we have identified an issue with the SVM
implementation provided by OpenCV.

As a reminder, OTB offers access to OpenCV's machine learning module
which provides, among other classifiers, SVM. OTB also provides an SVM
machine learning model which uses libSVM.

OpenCV and libSVM yield different classification results. In the case of
the RBF kernel, the results are statistically equivalent (differences in
Overal Accuracy are not significant).

However, in the case of the linear kernel, OpenCV's implementation has
lower performances which can be up to 20% lower in terms of Overall
Accuracy with respect to libSVM's implementation.

We have not checked what happens with other kernels.

Example using hyperspectral data provided by Mathieu using 500 training
samples and 5000 validation samples and 18 random repetitions :

| version   |  OA avg |  OA std |
|---+-+-|
| libsvm RBF| 0.94584 | 0.00149 |
| OpenCV RBF| 0.94342 | 0.00219 |
| libsvm linear | 0.89899 | 0.00197 |
| OpenCV linear | 0.66548 | 0.07612 |

Having discussed informally with Julien, I think that the following
actions should be taken (just a proposal, of course) :

1. Document this issue in the otbSVMMachineLearningModel.
2. Remove the linear kernel option for the TrainImagesClassifier in the
   OpenCV case (-classifier.svm.k) so that only classifier.libsvm.k can
   be used for linear kernels.

What do you think?

Jordi

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RE: [otb-users] Pleiades product Mega Tiles Stitching

[Michel Julien]

Hi,

This error indicates that one of the tile has a different spacing. Can you 
ReadImageInfo all tiles and see if the spacing is the same ?

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Srikanth
Envoyé : lundi 28 septembre 2015 19:00
À : otb-users@googlegroups.com
Objet : [otb-users] Pleiades product Mega Tiles Stitching

Hello,

I am processing the Pleiades Megatiles with 8 Rows and 2 Columns using 
otbcli_TileFusion. While processing it throws an error  "Inconsistent spacings 
in layout detected!"
I have tried to resolve it by reducing the images, thus found there is a 
problem with R7C1 and R7C2 pair. I have run the R1C1,R1C2 to R6C1,R6C2 and 
R8C1,R8C2 separately. They worked. Is there a way to fix such issues with the 
data ?

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Srikanth K.
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RE:[otb-users] Re: Select bands with Extended File Names

[Michel Julien]

Hi Agus,

Unfortunately we did not manage to set up a  live stream from the Hackfest ... 
However, I was just proposing to implement this feature for the hackfest day 
tomorrow. New features can of course be proposed anytime. I will let you know 
if we try and succeed to implement your proposal.

Regards,

Julien

De : otb-users@googlegroups.com [otb-users@googlegroups.com] de la part de 
Agustin Lobo [alobolis...@gmail.com]
Envoyé : mercredi 3 juin 2015 23:44
À : otb-users@googlegroups.com
Objet : Re: [otb-users] Re: Select bands with Extended File Names

Any way to remotely participate in the new features list? If not, could you
mention this topic?
Agus

On Tue, May 12, 2015 at 9:37 AM, Manuel Grizonnet
manuel.grizon...@cnes.fr wrote:
 no progress so far but it's a good example of new feature that could be
 added during the hackfest in June if there are people motivativated

 On 11/05/2015 19:05, Agustin Lobo wrote:
 Thanks, this certainly alleviates the problem of disk space,  but
 still the real solution is being able to select some bands for a given
 process. This is particularly
 important with hyperspectral imagery: you often want to use a given subset.
 Julien Michel said the feature was planned. Any progress?
 Thanks

 On Mon, May 4, 2015 at 4:38 PM, Julien Radoux jrad...@hotmail.com wrote:
 note that OTB also supports vrt file, so you could use gdalbuildvrt instead
 of gdal_translate. The new file will be a small xml.


 On Tuesday, December 16, 2014 at 1:09:10 PM UTC+1, alobo wrote:
 How would I select bands 1 to 5 with the extended filenames convention?
 I've tried
 Bert20130602AOI1NAPCAw3.tifsdataidx=0,1,2,3,4

 and

 Bert20130602AOI1NAPCAw3.tifsdataidx=0 1 2 3 4

 But do not work

 Thanks,
 Agus
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RE: [otb-users] Mean shift for classification (not for segmentation)

[Michel Julien]

There used to be a MeanShiftModeSeeker object in ITK doing this, but I can not 
find it in recent ITK releases. Maybe you can ask the ITK users list ?

Regards,

Julien

-Message d'origine-
De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Agustin Lobo
Envoyé : mercredi 11 mars 2015 11:42
À : otb-users@googlegroups.com
Objet : [otb-users] Mean shift for classification (not for segmentation)

MS was originally designed for multi-variate classification, is there an otb 
implementation of MS for a non-spatial classification?
Thanks
Agus

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RE: [otb-users] Orfeo segmenation tools in QGIS 2.6 : unsupported operand type(s) for +

[Michel Julien]

Hi Pierre,

Can you try to change your parameters as follows :
In Output Vector File parameter,  specify an explicit filename instead of the 
default “temporary file”.

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Pierre Gancarski
Envoyé : mercredi 14 janvier 2015 16:00
À : otb-users@googlegroups.com
Objet : Re: [otb-users] Orfeo segmenation tools in QGIS 2.6 : unsupported 
operand type(s) for +


The name of the file doesn't contain any special characters

I joint a copy of the log.

I don't have log file (or I don't know where it is localized)

I tried with a lot of others images: same result !

Pierre





On Wednesday, January 14, 2015 at 12:14:17 PM UTC+1, CedricL wrote:
Hello,

In the past I had this kind of problem when some you have special caracter or 
space in the name of input/output fil or in the fulle path.

Can you please copy and paste the output of the log file which contain all the 
parameter send to otb in Qgis in order to see that ?

Best

On Tuesday, January 13, 2015 at 2:03:00 PM UTC+1, Pierre Gancarski wrote:
Only this sentence :

Algorithm Segmentation (cc) starting...

unsupported operand type(s) for +: 'NoneType' and 'str' Voir le journal pour 
plus de détails



Pierre
On Monday, January 12, 2015 at 9:11:18 AM UTC+1, Guillaume Pasero wrote:
Hi,

Have you checked what is produced in the Log tab of the application window ?

Regards,
Guillaume

Le 09/01/2015 15:18, Pierre Gancarski a écrit :

I am having trouble processing an image through the Image Segmentation in the 
OTB Toolbox of QGIS 2.6



I have a .tif image as Input Image box and keep all the parameters to defaults 
(shown enclosed file) .
Once I select Run this error immediately shows up:



Algorithm Segmentation (cc) starting...

unsupported operand type(s) for +: 'NoneType' and 'str' Voir le journal pour 
plus de détails



How I can do to fix this error?



Thanks in advance



Pierre
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RE: [otb-users] Re: Band Math on image stack

[Michel Julien]

Hi Agus,

We are working on an improved band math which will address many of your 
comment, including stack processing, multiple outputs, neighborhood operations, 
access to global stats, and improved documentation. This new band math (called 
BandMathX) is already available and functional in trunk. More info will soon 
appear in our blog.

Regards,

Julien

De : otb-users@googlegroups.com [mailto:otb-users@googlegroups.com] De la part 
de Agustin Lobo
Envoyé : vendredi 5 décembre 2014 09:52
À : otb-users@googlegroups.com
Objet : Re: [otb-users] Re: Band Math on image stack



On Wed, Sep 3, 2014 at 6:45 PM, Guillaume Pasero 
guillaume.pas...@c-s.frmailto:guillaume.pas...@c-s.fr wrote:
Hi,

The formula to compute the mean would look like :
avg(im1b1,im1b2,im1b3,[...],im1b12)

Once you have produced the image containing the mean values, you can use it 
back in the otbcli_BandMath.
Lets say you set the input image list parameter il to :
 - first image : the 12-band initial image
- second image : the mean image
The formula for std dev. would look like :
sqrt(avg( 
(im1b1-im2b1)*(im1b1-im2b1),(im1b2-im2b1)*(im1b2-im2b1),[...],(im1b12-im2b1)*(im1b12-im2b1)
 ))

Regards,
Guillaume

Which is very inconvenient. If you have few bands, this is feasible. If you 
have 12, this is inconvenient (the proof being that you were not able to write 
the whole expression in your message. With an Hyperion image, it would be just 
ridiculous.

I think BandMath was designed to operate among few bands, essentially to 
calculate indices. Calculating stats across all bands
would need another otbcli_ application, sort of otbcli_BandStats. Is anything 
like that in the list of new features? It would be certainly most useful.
Agus



Le 03/09/2014 17:43, dcd a écrit :
Hi Julien,

I was just re-reading this post as it's referenced on 
gis.stackexchange.comhttp://gis.stackexchange.com/questions/88996/per-pixel-statistical-calculations-on-a-raster-stack-using-gdal/03#03.
 I noticed I missed something in your answer:

On Tuesday, 11 March 2014 03:54:21 UTC-4, Julien Michel wrote:

2) Regarding your second question, it depends on what you intent to calculate : 
the mean and std dev of one layer, or the mean and std dev of one pixel accross 
several layers ? The latter is already possible (you just need to write the 
mathematical expression), while the former again requires more code on OTB side 
(but it would be useful to be able to call std(im1b1) for instance in a 
formula).

The intent was to calculate the mean and std. dev. of a single pixel across 
several layers. Ideally, I'd like to calculate the cv of each pixel. The reply 
above appears to indicate that this is already possible within OTB. If so, how 
would you write the expression using otbcli_BandMath given a multilayer image 
(e.g., 12 bands?).

In other words, if I had a 12 band image of average monthly temperature, how 
would I calculate the mean (or std.dev., or cv) of each pixel across several 
layers using otbcli_BandMath?

Thanks!
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