diff --git a/Applications/Classification/otbImageSVMClassifier.cxx b/Applications/Classification/otbImageSVMClassifier.cxx
index 0bedfb30e0cb5be5a6a91b8b7b1feb12dda9a826..c2b6bce969dfdf52d345c6d5cd9865ee09126b7f 100644
--- a/Applications/Classification/otbImageSVMClassifier.cxx
+++ b/Applications/Classification/otbImageSVMClassifier.cxx
@@ -60,6 +60,17 @@ private:
   {
     SetName("ImageSVMClassifier");
     SetDescription("Perform SVM classification based on a previous computed SVM model");
+    
+    // Documentation
+    SetDocName("Image SVM Classifier Application");
+    SetDocLongDescription("This application performs an image classification based on the SVM classifier. The image to classify and the SVM model are given in input, the application will generate the classified output image. Optionnally, the user can give an image statistics file (that contains min, max) to normalize the input image before the classification. Furthemore, the user can give a mask to define area of work (only pixel with value greater to 0 will be porceed), this no classify pixels will appear in the output image with the value 0.");
+    SetDocLimitations("None");
+    SetDocAuthors("OTB-Team");
+    SetDocSeeAlso("TrainSVMImagesClassifier application, ValidateSVMImagesClassifier");
+    SetDocCLExample("otbApplicationLauncherCommandLine ImageSVMClassifier ${OTB-BIN}/bin --in ${OTB-DATA}/Classification/QB_1_ortho.tif  --imstat ${OTB-DATA}/Baseline/OTB-Applications/Files/clImageStatisticsQB1.xml --svn ${OTB-DATA}/Baseline/OTB-Applications/Files/clsvmModelQB1.svm --out otbConcatenateImages.png uchar");
+    AddDocTag("Classification");
+    AddDocTag("SVM");
+
   }
 
   virtual ~ImageSVMClassifier()