Hi everyone,

In the frame of my work, I would like to perform some benchmarking 
regarding the different classifiers implemented in OTB : Suport Vector 
Machine (SVM), Random Forest (RF) and Artificial Neural Network (ANN).

There were no problems with the two first ones (SVM & RF) but I'm not used 
to the ANN classifier and I faced some issues to set up the parameters in 
order to run the classification. 

Hereafter, please find the message error I got (both GUI application and 
shell application) : *Application.logger (FATAL) The following error 
occurred during OTB-application execution: 
C:\OSGeo4W64\usr\src\osgeo4w\opencv\opencv-2.4.11\modules\ml\src\ann_mlp.cpp:698:
 
error: (-5) output training data should be a floating-point matrix withthe 
number of rows equal to the number of training samples and the number of 
columns equal to the size of last (output) layer in function 
CvANN_MLP::prepare_to_train*

At this stage, I only try to perform an ANN classification 
(TrainImagesClassifier) on one single image (4 bands) with two classes in 
the output classification (built-up vs non built-up). I first computed the 
Statistics of the image (ComputeImagesStatistics) and now I try to use the 
image, the associated statistics and the training data (vector data) to run 
the classifier.

Any suggestion will be highly appreciated,

Many thanks,

Alexandre


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