Re: [otb-users] Atmospheric correction of Landsat 8 thermal bands

[Guillaume Pasero]

  
  
Hi Agustin,
In OTB, optical calibration is implemented to retrieve :

  luminance
  then TOA reflection
  then TOC reflection

The last 2 levels don't apply to thermal bands, but if the metadata
of TIRS product is read correctly (not tested ...) you should get
the first level. There are also coefficients to translate into
surface temperature I guess, this can be done with a BandMath and
the right formula.

Regards,
Guillaume,

On 09/21/2016 03:20 PM, Agustin Lobo
  wrote:


  Bonjour!

Do we have procedures for atmospheric correction of Landsat 8 thermal bands
in OTB? (p.e. split window)

Thanks
Agus




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  Guillaume PASERO
Responsable technique
Business Unit E-SPACE & Geo Information -
  Département Image & Applications

CS Systèmes d'Information
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Re: [otb-users] Pixel Based Classification with SVM algorithm

[Julien Michel]

Can you try with the standalone package : 
https://www.orfeo-toolbox.org/packages/OTB-5.6.1-Linux64.run


It should have the libSVM support.

Regards,

Julien

Le 03/11/2016 à 17:03, Pierre-Yves a écrit :

Thanks for your response

I didn't installed OTB myself. It seems like it was a bundle version 
with unbuntu.
In fact, I'm trying to adapt a python SVM classification script which 
works on OTB 5.0.0


Regards

Pierre-Yves

Le jeudi 3 novembre 2016 13:51:18 UTC+1, Julien Michel a écrit :

Le 03/11/2016 à 12:10, Pierre-Yves a écrit :
> So it seems, there is no libsvm/svm options anymore in OTB 5.4.0
> Does it still work to compute a pixel based classification SVM
> algorithm with OTB 5.4.0 ?
Hi,

Depending on how you built or which packages you are using, libSVM
module can be enabled or not. How did you install OTB ?

Regards,

Julien

-- 
Julien MICHEL

CNES - DCT/SI/AP

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Re: [otb-users] Pixel Based Classification with SVM algorithm

[Pierre-Yves]

Thanks for your response

I didn't installed OTB myself. It seems like it was a bundle version with 
unbuntu.
In fact, I'm trying to adapt a python SVM classification script which works 
on OTB 5.0.0

Regards

Pierre-Yves

Le jeudi 3 novembre 2016 13:51:18 UTC+1, Julien Michel a écrit :
>
> Le 03/11/2016 à 12:10, Pierre-Yves a écrit : 
> > So it seems, there is no libsvm/svm options anymore in OTB 5.4.0 
> > Does it still work to compute a pixel based classification SVM 
> > algorithm with OTB 5.4.0 ? 
> Hi, 
>
> Depending on how you built or which packages you are using, libSVM 
> module can be enabled or not. How did you install OTB ? 
>
> Regards, 
>
> Julien 
>
> -- 
> Julien MICHEL 
> CNES - DCT/SI/AP 
>
>

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Re: [otb-users] Pixel Based Classification with SVM algorithm

[Julien Michel]

Le 03/11/2016 à 12:10, Pierre-Yves a écrit :

So it seems, there is no libsvm/svm options anymore in OTB 5.4.0
Does it still work to compute a pixel based classification SVM 
algorithm with OTB 5.4.0 ? 

Hi,

Depending on how you built or which packages you are using, libSVM 
module can be enabled or not. How did you install OTB ?


Regards,

Julien

--
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CNES - DCT/SI/AP

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Re: [otb-users] Error otbcli_ImageClassifier (floating-point vector with ..)

[michel M]

many many thanks Guillaume, I will look it  and i I would answer you
see you soon

Le lundi 31 octobre 2016 18:27:07 UTC+1, Guillaume Pasero a écrit :
>
> Hi,
>
> It seems that you trained you model 'model.rf' with a certain number of 
> bands, but try to use it with on an image that has a different number of 
> bands. 
>
> You can check the parameter 'var_count' in your file 'model.rf' and 
> compare it with the number of bands in 
> alldates2014_landsat_bandes_et_nvdi.TIF
>
> Regards,
>
> Guillaume
> On 10/26/2016 09:46 AM, michel M wrote:
>
> Hello , 
> I have an error on the command classifier 
>
>  otbcli_ImageClassifier.bat -in alldates2014_landsat_bandes_et_nvdi.TIF  
> -out classif.tif uint8 -model model.rf
>
> i replaced uint8 by float but the result is the same 
>
> 2016 Oct 26 09:35:21  :  Application.logger  (INFO) Loading model
> 2016 Oct 26 09:35:21  :  Application.logger  (INFO) Model loaded
> 2016 Oct 26 09:35:21  :  Application.logger  (INFO) Input image 
> normalization deactivated.
> Writing classif.tif...: 0% 
> [  ]OpenCV Error: Bad 
> argument (the input sample must be 1d floating-point vector with
>  the same number of elements as the total number of variables used for 
> training ) in predict, file 
> /data/tools/mxe/tmp-opencv-i686-w64-mingw32.shared/opencv-2.4  
> .10/modules/ml/src/tree.cpp, line 3620
> /data/tools/mxe/tmp-opencv-i686-w64-mingw32.shared/opencv-2.4.10/modules/ml/src/tree.cpp:3620:
>  
> error: (-5) the input sample must be 1d floating-point vector wit h the 
> same number of elements as the total number of variables used for training  
> in function predict
>
> many many thanks for your help 
>
> Michel 
>
>
>
> -- 
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> Responsable technique
> *Business Unit E-SPACE & Geo Information - Département Image & 
> Applications*
>
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> 31506 Toulouse Cedex 05 - FRANCE
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>

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RE:[otb-users] Orfeo ToolBox Integration to Web Application

[Poughon Victor]

Hello Akshay,

Please note that I am not a lawyer and this is not legal advice.
OTB's license is distributed with it's source code in the LICENSE file at the 
root of the project. You can find a copy online here:
https://git.orfeo-toolbox.org/otb.git/blob/HEAD:/LICENSE

Also, there is work in progress to change the current CeCILL v2 (GPL-like) 
license to the Apache v2.0 license, which might happen by the end of this year 
or so.

Cheers,

Victor Poughon

De : otb-users@googlegroups.com [otb-users@googlegroups.com] de la part de 
advancedriskanalyt...@gmail.com [advancedriskanalyt...@gmail.com]
Envoyé : jeudi 3 novembre 2016 11:49
À : otb-users
Cc : ashish.bela...@advancedriskanalytics.com; 
akshay.gu...@advancedriskanalytics.com
Objet : [otb-users] Orfeo ToolBox Integration to Web Application


Hello,

We are evaluating the feature extraction capability using Orfeo Toolbox. If it 
works well, we would like to integrate few features from Orfeo Toolbox in our 
Web front-end application via API.

Our application will be commercially licensed to the end users along with other 
capabilities. We would like to understand the commercial engagement terms with 
Orfeo toolbox before taking up the integration work. Is there any license for 
commercial use? Can you provide the language?

Please don’t hesitate to contact us if you have any further questions. We are 
looking forward to your reply and working together to improve the Orfeo Toolbox 
capabilities.

Best Regards,
Akshay

Advanced Risk Analytics Private Limited

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[otb-users] Pixel Based Classification with SVM algorithm

[Pierre-Yves]

Hello,

I try to perform a pixel based classification with SVM algorithm. My 
version is OTB 5.4.0
I have an a error with otbcli_TrainImagesClassifier tools : 

ERROR: option -classifier.libsvm.k does not exist in the application.
This is the TrainImagesClassifier application, version 5.4.0
Train a classifier from multiple pairs of images and training vector data.
Complete documentation: 
http://www.orfeo-toolbox.org/Applications/TrainImagesClassifier.html

By typing otbcli_TrainImagesClassifier command in OSGeo4W Shell, I get 
these following lines :

OTB Version 5.0.0
-classifier Classifier to use for the training 
[libsvm/svm/boost/dt/gbt/ann/bayes/rf/knn] (mandatory, default value is 
libsvm)
OTB Version 5.4.0
-classifier Classifier to use for the training 
[boost/dt/gbt/ann/bayes/rf/knn] (mandatory, default value is boost)

So it seems, there is no libsvm/svm options anymore in OTB 5.4.0
Does it still work to compute a pixel based classification SVM algorithm 
with OTB 5.4.0 ? 

Regards

Pierre-Yves

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