diff --git a/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx b/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx
index d677b59dd8eeeec8e785eb01151f7c5589062125..50c903aa0fa6241fea82b6464d92ed480fff4f01 100644
--- a/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx
+++ b/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx
@@ -84,7 +84,7 @@ private:
     SetDescription("Third (optional) step of the exact Large-Scale Mean-Shift segmentation workflow.");
 
     SetDocName("Exact Large-Scale Mean-Shift segmentation, step 3 (optional)");
-    SetDocLongDescription("This application performs the second step of the exact Large-Scale Mean-Shift segmentation workflow (LSMS). Given a segmentation result (label image) and the original image, it will merge regions whose size in pixels is lower than minsize parameter with the adjacent regions with the adjacent region with closest radiometry and acceptable size. Small regions will be processed by size: first all regions of size 1 will be merged, then all regions of size 2, until regions of size minsize. For large images one can use the nbtilesx and nbtilesy parameters for tile-wise processing, with the guarantees of identical results.");
+    SetDocLongDescription("This application performs the third step of the exact Large-Scale Mean-Shift segmentation workflow (LSMS). Given a segmentation result (label image) and the original image, it will merge regions whose size in pixels is lower than minsize parameter with the adjacent regions with the adjacent region with closest radiometry and acceptable size. Small regions will be processed by size: first all regions of size 1 will be merged, then all regions of size 2, until regions of size minsize. For large images one can use the nbtilesx and nbtilesy parameters for tile-wise processing, with the guarantees of identical results.");
     SetDocLimitations("This application is part of the Large-Scale Mean-Shift segmentation workflow (LSMS) and may not be suited for any other purpose.");
     SetDocAuthors("David Youssefi");
     SetDocSeeAlso("LSMSSegmentation, LSMSVectorization, MeanShiftSmoothing");
diff --git a/Applications/Segmentation/otbLSMSVectorization.cxx b/Applications/Segmentation/otbLSMSVectorization.cxx
index a2589acfcdeda53d085e8f37cf9cd4bfd63f33e7..0ef4395ae95396665895815af5e2e4b99c057769 100644
--- a/Applications/Segmentation/otbLSMSVectorization.cxx
+++ b/Applications/Segmentation/otbLSMSVectorization.cxx
@@ -76,7 +76,7 @@ private:
     SetDescription("Fourth step of the exact Large-Scale Mean-Shift segmentation workflow.");
 
     SetDocName("Exact Large-Scale Mean-Shift segmentation, step 4");
-    SetDocLongDescription("This application performs the second step of the exact Large-Scale Mean-Shift segmentation workflow (LSMS). Given a segmentation result (label image), that may have been processed for small regions merging or not, it will convert it to a GIS vector file containing one polygon per segment. Each polygon contains additional fields: mean and variance of each channels from input image (in parameter), segmentation image label, number of pixels in the polygon. For large images one can use the nbtilesx and nbtilesy parameters for tile-wise processing, with the guarantees of identical results.");
+    SetDocLongDescription("This application performs the fourth step of the exact Large-Scale Mean-Shift segmentation workflow (LSMS). Given a segmentation result (label image), that may have been processed for small regions merging or not, it will convert it to a GIS vector file containing one polygon per segment. Each polygon contains additional fields: mean and variance of each channels from input image (in parameter), segmentation image label, number of pixels in the polygon. For large images one can use the nbtilesx and nbtilesy parameters for tile-wise processing, with the guarantees of identical results.");
     SetDocLimitations("This application is part of the Large-Scale Mean-Shift segmentation workflow (LSMS) and may not be suited for any other purpose.");
     SetDocAuthors("David Youssefi");
     SetDocSeeAlso("MeanShiftSmoothing, LSMSSegmentation, LSMSSmallRegionsMerging");