Hi,

Images and their correspondind training vector data must be input in the exact same order. Is it the case for you ?

Thanks,

Regards,

Julien


Le 05/05/2014 11:50, Walid Bouceffa a écrit :
Dear All,

I tried to reproduce the Classification example given by this tutorial http://www.jordiinglada.net/stok/FOSTIT/cours-fr.pdf with the addition of another feature:

otbcli_TrainImagesClassifier -io.il ./Images_OTB/ex3_classif_pixel/melbourne_ms_toa_ortho_extract_small.tif feature-selection.tif -io.vd ./Images_OTB/ex3_classif_pixel/training.shp ./Images_OTB/ex3_classif_pixel/training.shp -sample.vfn Class -classifier libsvm -io.out Classification/Model/model.libsvm

but it didint work and i got this  Confusion matrix :
     [1] [2] [3] [4] [5]
[ 1]    0    0    0    0 1078
[ 2]    0    0    0    0 1113
[ 3]    0    0    0    0 1047
[ 4]    0    0    0    0 1050
[ 5]    0    0    0    0 1035

However, it work perfectly when i inverse the order of the input images list !!!!

otbcli_TrainImagesClassifier -io.il feature-selection.tif ./Images_OTB/ex3_classif_pixel/melbourne_ms_toa_ortho_extract_small.tif -io.vd ./Images_OTB/ex3_classif_pixel/training.shp ./Images_OTB/ex3_classif_pixel/training.shp -sample.vfn Class -classifier libsvm -io.out Classification/Model/model.libsvm

i got this matrix
     [1] [2] [3] [4] [5]
[ 1] 1001    0   16   27   11
[ 2]    0 1049    0    0    0
[ 3]   17    0 1028    5    2
[ 4]   18    0   26 1024    0
[ 5]   12    0   11   20 1006

Thanks in advance for your help,

Regards,
Walid

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Julien MICHEL
CNES - DCT/SI/AP - BPI 1219
18, avenue Edouard Belin
31401 Toulouse Cedex 09 - France
Tel: +33 561 282 894 - Fax: +33 561 283 109

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