diff --git a/Applications/FeatureExtraction/otbLineSegmentDetection.cxx b/Applications/FeatureExtraction/otbLineSegmentDetection.cxx
index d749e029403e07648a5e2a298eb49fa977885f1e..0daeaa74e280bd8ae023ae053c654a618533625a 100644
--- a/Applications/FeatureExtraction/otbLineSegmentDetection.cxx
+++ b/Applications/FeatureExtraction/otbLineSegmentDetection.cxx
@@ -58,7 +58,7 @@ private:
SetDescription("Detect line segments in raster");
// Documentation
- SetDocName("Line segment detection application");
+ SetDocName("Line segment detection");
SetDocLongDescription("This application detects locally straight contours in a image. It is based on Burns, Hanson, and Riseman method and use an a contrario validation approach (Desolneux, Moisan, and Morel). The algorithm was published by Rafael Gromponevon Gioi, Jérémie Jakubowicz, Jean-Michel Morel and Gregory Randall.\n The given approach compute gradient and level lines of the image and detects aligned points in line support region. The application allows to export the detected lines in a vector data.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
diff --git a/Applications/Projections/otbBundleToPerfectSensor.cxx b/Applications/Projections/otbBundleToPerfectSensor.cxx
index a5d5e640208ec233279a8ffee7a3b132c33665cd..2576e619dbee1b2c8f1bd9fd315bb7dcbe05e0ed 100644
--- a/Applications/Projections/otbBundleToPerfectSensor.cxx
+++ b/Applications/Projections/otbBundleToPerfectSensor.cxx
@@ -56,7 +56,7 @@ private:
SetDescription("Perform P+XS pansharpening");
// Documentation
- SetDocName("Bundle to perfect sensor application");
+ SetDocName("Bundle to perfect sensor");
SetDocLongDescription("This application performs P+XS pansharpening.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
diff --git a/Applications/Projections/otbConvertSensorToGeoPoint.cxx b/Applications/Projections/otbConvertSensorToGeoPoint.cxx
index 582c8d55390c03118b253d6961dff90cb2b3f3dc..7e77b5c0537da7a89caa546e0fc1374215f81474 100644
--- a/Applications/Projections/otbConvertSensorToGeoPoint.cxx
+++ b/Applications/Projections/otbConvertSensorToGeoPoint.cxx
@@ -57,7 +57,7 @@ private:
SetDocLongDescription("Sensor to geographic coordinates conversion");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
- SetDocSeeAlso("ConvertCartoToGeoPoint application, otbObtainUTMZoneFromGeoPoint application");
+ SetDocSeeAlso("ConvertCartoToGeoPoint application, otbObtainUTMZoneFromGeoPoint");
AddDocTag(Tags::Geometry);
diff --git a/Applications/Projections/otbOrthoRectification.cxx b/Applications/Projections/otbOrthoRectification.cxx
index 76cffe8aee953dcc9b08d0e3ac88ee70e140315e..f15102a15aef6ebee4363f8ee492052c604b749e 100644
--- a/Applications/Projections/otbOrthoRectification.cxx
+++ b/Applications/Projections/otbOrthoRectification.cxx
@@ -90,7 +90,7 @@ private:
oss << "This application allows to ortho-rectify optical images from supported sensors." << std::endl;
SetDescription(oss.str());
// Documentation
- SetDocName("Ortho-rectification application");
+ SetDocName("Ortho-rectification");
oss.str("");
oss<<"An inverse sensor model is built from the input image metadata to convert geographical to raw geometry coordinates. ";
oss<<"This inverse sensor model is then combined with the chosen map projection to build a global coordinate mapping grid. Last, this grid is used to resample using the chosen interpolation algorithm. ";
diff --git a/Applications/Projections/otbRigidTransformResample.cxx b/Applications/Projections/otbRigidTransformResample.cxx
index b90c5be118fb80fa0e8524bdfe241fe6a5c2a7b3..c081061dd415c9869b8aad61c4b0cbdf6740ac32 100644
--- a/Applications/Projections/otbRigidTransformResample.cxx
+++ b/Applications/Projections/otbRigidTransformResample.cxx
@@ -54,7 +54,7 @@ private:
SetDocLongDescription("This application performs an translation on the input image.\n Parameters of the translation can be set with tx and ty options.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
- SetDocSeeAlso("Translation application");
+ SetDocSeeAlso("Translation");
AddDocTag("Conversion");
AddDocTag(Tags::Geometry);
diff --git a/Applications/Projections/otbSuperimpose.cxx b/Applications/Projections/otbSuperimpose.cxx
index a0bda8373d0ada0bab8143db432fa63f441674f3..8c469c7d115158eaa624644f833211d60334da68 100644
--- a/Applications/Projections/otbSuperimpose.cxx
+++ b/Applications/Projections/otbSuperimpose.cxx
@@ -57,7 +57,7 @@ private:
SetDescription("Using available image metadata, project one image onto another one");
// Documentation
- SetDocName("Superimpose sensor application");
+ SetDocName("Superimpose sensor");
SetDocLongDescription("This application performs /....");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
diff --git a/Applications/Radiometry/otbOpticalCalibration.cxx b/Applications/Radiometry/otbOpticalCalibration.cxx
index ec0c626c6369b0ed04dd1efc1fec196655627ce5..f8f8d03ec5ce8a43b2012d884c5c4f5e83c4ad76 100644
--- a/Applications/Radiometry/otbOpticalCalibration.cxx
+++ b/Applications/Radiometry/otbOpticalCalibration.cxx
@@ -81,7 +81,7 @@ private:
SetName("OpticalCalibration");
SetDescription("Perform optical calibration TOA/TOC (Top Of Atmosphere/Top Of Canopy). Supported sensors: QuickBird, Ikonos, WorldView2, Formosat, Spot5");
// Documentation
- SetDocName("Optical calibration application");
+ SetDocName("Optical calibration");
SetDocLongDescription("The application allows to convert pixel values from DN (for Digital Numbers) to physically interpretable and comparable values.Calibrated values are called surface reflectivity and its values lie in the range [0, 1].\nThe first level is called Top Of Atmosphere (TOA) reflectivity. It takes into account the sensor gain, sensor spectral response and the solar illumination.\nThe second level is called Top Of Canopy (TOC) reflectivity. In addition to sensor gain and solar illumination, it takes into account the optical thickness of the atmosphere, the atmospheric pressure, the water vapor amount, the ozone amount, as well as the composition and amount of aerosol gasses.\nIt is also possible to indicate an AERONET file which contains atmospheric parameters (version 1 and version 2 of Aeronet file are supported.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
diff --git a/Applications/Radiometry/otbSarRadiometricCalibration.cxx b/Applications/Radiometry/otbSarRadiometricCalibration.cxx
index aa56d4e3c9ffff9ff3ab8d4863e66912babc3311..3b6d83a1db0a330e170ca94335217c81281b417a 100644
--- a/Applications/Radiometry/otbSarRadiometricCalibration.cxx
+++ b/Applications/Radiometry/otbSarRadiometricCalibration.cxx
@@ -49,7 +49,7 @@ private:
SetDescription("Perform SAR calibration on input complex images");
// Documentation
- SetDocName("SAR Radiometric calibration application");
+ SetDocName("SAR Radiometric calibration");
SetDocLongDescription("This application performs SAR calibration on input complex images.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
diff --git a/Applications/Segmentation/otbMeanShiftSegmentation.cxx b/Applications/Segmentation/otbMeanShiftSegmentation.cxx
index e3a757b09371f215e29dd968888502042af47a6d..41433c58c169107ad1bb46767115fe744f1b12b9 100644
--- a/Applications/Segmentation/otbMeanShiftSegmentation.cxx
+++ b/Applications/Segmentation/otbMeanShiftSegmentation.cxx
@@ -49,7 +49,7 @@ private:
SetDescription("Perform mean shift clustering");
// Documentation
- SetDocName("Mean Shift segmentation application");
+ SetDocName("Mean Shift segmentation");
SetDocLongDescription("This application performs mean shift clustering.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
diff --git a/Applications/Utils/otbColorMapping.cxx b/Applications/Utils/otbColorMapping.cxx
index 84c9656449f83a43f60402fdfe5cff7d0ea48f18..a5c6fdd2536942cb0f2f792c6c4e72a9c4e6c6f8 100644
--- a/Applications/Utils/otbColorMapping.cxx
+++ b/Applications/Utils/otbColorMapping.cxx
@@ -400,7 +400,7 @@ private:
SetDocLimitations("The segmentation optimal method does not support streaming, and thus large images. The operation color->label "
"is not implemented for the methods continuous LUT and support image LUT.\n ColorMapping uisng support image is not threaded.");
SetDocAuthors("OTB-Team");
- SetDocSeeAlso("ImageSVMClassifier application");
+ SetDocSeeAlso("ImageSVMClassifier");
AddDocTag(Tags::Learning);
// Build lut map
diff --git a/Applications/Utils/otbCompareImages.cxx b/Applications/Utils/otbCompareImages.cxx
index d30f5e416fd6df67ba77d195ec0afc305479bc1e..056d030d5fcad3fa21fd51447c2009ec9b199cc5 100644
--- a/Applications/Utils/otbCompareImages.cxx
+++ b/Applications/Utils/otbCompareImages.cxx
@@ -56,7 +56,7 @@ private:
SetDocLongDescription("This application computes MSE (Mean Squared Error), MAE (Mean Absolute Error) and PSNR(Peak Signal to Noise Ratio) between the channel of two images (reference and measurement). The user has to set the used channel and can specified an ROI.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
- SetDocSeeAlso("BandMath application, ImageStatistics application");
+ SetDocSeeAlso("BandMath application, ImageStatistics");
AddDocTag("Statistics");
diff --git a/Applications/Utils/otbConcatenateImages.cxx b/Applications/Utils/otbConcatenateImages.cxx
index 090fc571897a49373baea06350667bc09f34192d..ca2228a75b0440ee7c139e8b64b89dc3cac84928 100644
--- a/Applications/Utils/otbConcatenateImages.cxx
+++ b/Applications/Utils/otbConcatenateImages.cxx
@@ -63,7 +63,7 @@ private:
SetDocLongDescription("This application performs images concatenation. It will take the input image list (mono or multi channel) and generate a single multi channel image. The channel order is the one of the list.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
- SetDocSeeAlso("Rescale application, Convert application");
+ SetDocSeeAlso("Rescale application, Convert");
AddDocTag(Tags::Manip);
AddDocTag("Concatenation");
diff --git a/Applications/Utils/otbConvert.cxx b/Applications/Utils/otbConvert.cxx
index 676823acaa7cd4f1cf3ab3134aa6ace177b533e1..57ef3acfe056ccab5047cb47b6c0b5762209ea34 100644
--- a/Applications/Utils/otbConvert.cxx
+++ b/Applications/Utils/otbConvert.cxx
@@ -86,7 +86,7 @@ private:
SetDocLongDescription("This application performs an image pixel type conversion (short, ushort, char, uchar, int, uint, float and double types are handled). The output image is written in the specified format (ie. that corresponds to the given extension).\n The convertion can include a rescale usiong the image 2% minimum and maximum values. The rescale can be linear or log2.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
- SetDocSeeAlso("Rescale application");
+ SetDocSeeAlso("Rescale");
AddDocTag("Conversion");
AddDocTag("Image Dynamic");
AddDocTag(Tags::Manip);