DOC: review long descriptions

Modules/Applications/AppClassification/app/otbTrainRegression.cxx

@@ -110,15 +110,17 @@ void DoInit() override
     "This application trains a classifier from multiple input images or a csv "
     "file, in order to perform regression. Predictors are composed of pixel "
     "values in each band optionally centered and reduced using an XML "
-    "statistics file produced by the ComputeImagesStatistics application.\n "
+    "statistics file produced by the ComputeImagesStatistics application.\n\n"
+
     "The output value for each predictor is assumed to be the last band "
     "(or the last column for CSV files). Training and validation predictor "
     "lists are built such that their size is inferior to maximum bounds given "
     "by the user, and the proportion corresponds to the balance parameter. "
     "Several classifier parameters can be set depending on the chosen "
     "classifier. In the validation process, the mean square error is computed "
-    "between the ground truth and the estimated model.\n"
-    " This application is based on LibSVM and on OpenCV Machine Learning "
+    "between the ground truth and the estimated model.\n\n"
+
+    "This application is based on LibSVM and on OpenCV Machine Learning "
     "classifiers, and is compatible with OpenCV 2.3.1 and later.");
   SetDocLimitations("None");
   SetDocAuthors("OTB-Team");

Modules/Applications/AppProjection/app/otbVectorDataReprojection.cxx

@@ -65,11 +65,11 @@ private:
     SetName("VectorDataReprojection");
     SetDescription("Reproject a vector data using support image projection reference, or a user specified map projection");
     SetDocName("Vector Data reprojection");
-    std::ostringstream oss;
-    oss <<" This application allows reprojecting a vector data using support image projection reference"
-        ", or a user given map projection." << std::endl;
-    oss <<" If given, image keywordlist can be added to reprojected vectordata.";
-    SetDocLongDescription(oss.str());
+
+    SetDocLongDescription(
+        "Reproject vector data using a support image as projection reference or to a user given map projection. "
+        " If given an image keywordlist can be added to the reprojected vectordata.");
+
     SetDocLimitations(" ");
     SetDocAuthors("OTB-Team");
     SetDocSeeAlso(" ");

Modules/Applications/AppSegmentation/app/otbHooverCompareSegmentation.cxx

@@ -140,11 +140,11 @@ private:
     SetDocLongDescription("This application compares a machine segmentation (MS) with a partial "
                           "ground truth segmentation (GT). The Hoover metrics are used to estimate "
                           "scores for correct detection, over-segmentation, under-segmentation and "
-                          "missed detection."
-                          "\n The application can output the overall Hoover scores along with colored"
+                          "missed detection.\n\n"
+                          "The application can output the overall Hoover scores along with colored"
                           "images of the MS and GT segmentation showing the state of each region "
-                          "(correct detection, over-segmentation, under-segmentation, missed)"
-                          "\n The Hoover metrics are described in : Hoover et al., \"An experimental"
+                          "(correct detection, over-segmentation, under-segmentation, missed).\n\n"
+                          "The Hoover metrics are described in : Hoover et al., \"An experimental"
                           " comparison of range image segmentation algorithms\", IEEE PAMI vol. 18, no. 7, July 1996.");
     SetDocLimitations("None");
     SetDocAuthors("OTB-Team");