Re: [otb-users] Re: ANN produce not stable results

2016-02-10 Thread Guillaume Pasero

  
  
Hi, 

I think it is possible to get outputs from libSVM during processing.
When I use this library, I get messages like :
optimization finished, #iter = 113
  nu = 0.038199
  obj = -22.175591, rho = 0.331874
  nSV = 38, nBSV = 28

 Do you get these messages when running the command line application
?

Guillaume

On 02/03/2016 11:20 AM, Hristo Nikolov
  wrote:


  Dear Guillaume,
Thank you for your suggestion. As I pointed above I use the
  GUI version of OTB.
What I shall do is to follow your advice and move to CLI.


Just a small addition - the libSVM runs for more than 7
  days and still not finished.
Is it possible to integrate some parameter that shows the
  convergence when
running the learning phase of the modules in this library? 
By now the only way for me is to check the amount of memory
  used by this
process which is not a good estimate for this purpose.


Hristo

  On Friday, 29 January 2016 10:59:44 UTC+2, Guillaume Pasero
  wrote:
  
 Hi,
  
  In order to have stable results you should use the seed
  parameter, so that the Random Number Generator used during
  sample selection always gives the same samples : in the
  otbcli , it is the parameter key '-rand'.
  
  For the ANN, with the parameter "-classifier.ann.sizes",
  you can give multiple sizes to have several layers.
  
  HTH,
  
  Guillaume
  
  On 01/18/2016 05:41 PM, Hristo Nikolov wrote:
  
  
One more observation - when using
  polynomial as kernel function I can not set the degree
  of the polynomial.
  
  On Wednesday, 13 January 2016 15:40:40 UTC+2, Hristo
  Nikolov wrote:
  
Dear all,
  I have been experimenting with ANN provided
from OTB for some months now. 
  What I experienced is that as module in QGIS
the ANN from OTB has limitation
  of creating only single layer networks, but
the results produced remain the same
  under same initial parameters. Lastly I tried
to the otbgui version provided by 
  OSGeo4W, but it results that even the
parameters in the dialog box are the 
  same the output produced and more
specifically the error matrix is different 
  every time the training takes place.
  Could you advise?
  
  
  Thank you.
  Hristo

  

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Guillaume
PASERO
  Responsable technique
  Business Unit E-SPACE & Geo Information
- Département Image & 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 - guillaum...@c-s.fr 

  

  

  

  
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[otb-users] Re: maximum number of class in KMean application limited to 255

2016-02-10 Thread Julien Radoux

Thanks Julien for the quick fix: it worked perfectly. 

Regards,

Julien 

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Re: [otb-users] RapidEye Optical Calibration in Monteverdi 3.0.1

2016-02-10 Thread Stéphane ALBERT
Hello Petar,

You can click on the *File/Load OTB-applications* item of the Monteverdi
menu to load OTB-appilications. A dockable browser will open.

You can search for a specific OTB-applications by typing some text in its
search line.

You can double click on the requested OTB-application to open its editing
panel.

Best regards,

http://orfeo-toolbox.org

Stéphane ALBERT
Ingénieur d'études et développement
Business Unit E-SPACE & Geo Information, Département APPLICATIONS

CS Systèmes d'Information
Parc de la Grande Plaine - 5, Rue Brindejonc des Moulinais - BP 15872
31506 Toulouse Cedex 05 - France


On Tue, Feb 9, 2016 at 8:05 PM, Petar Dimitrov  wrote:

>
> Hello,
>
> I would like to use Orfeo ToolBox 5.2.1 and Monteverdi 3.0.1 to do
> atmospheric correction of RapidEye image. From this site:
> 
> http://www.cesbio.ups-tlse.fr/multitemp/?p=2956
>
> Can I use Monteverdi to do this?
>
> I understand that the SMAC method is implemented in OTB.
>
> I downloaded coefficients files for RapidEye sensof from this site:
> http://www.cesbio.ups-tlse.fr/fr/smac_telech.htm
>
> They are .dat files – one for each band. These files are needed for SMAC
> but I do not know how to use them. Maybe I have to load the files in the
> OpticalCalibration dialog box of Monteverdi but I cannot see this option.
> How to make a customized sensor? I do not even see how the predefined
> sensors are selected in this dialog (It was mentioned somewhere in the
> documentation that some sensors are integrated in SMAC, but RapidEye is
> not, so one have to use the dat files from the site mentioned).
>
> I am really a beginner in OTB so any assistance would be of great help.
> Thanks!
> Petar
>
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