diff --git a/Modules/Applications/AppHyperspectral/app/otbEndmemberNumberEstimation.cxx b/Modules/Applications/AppHyperspectral/app/otbEndmemberNumberEstimation.cxx
index 5413b925cd5b3b0931f0eeecaedae1dc83a1ae4e..562812a4e8f7f54941f351b21bee487802f65c96 100644
--- a/Modules/Applications/AppHyperspectral/app/otbEndmemberNumberEstimation.cxx
+++ b/Modules/Applications/AppHyperspectral/app/otbEndmemberNumberEstimation.cxx
@@ -60,22 +60,22 @@ private:
SetDocLongDescription("This application estimates the number of endmembers "
"in a hyperspectral image. It first computes statistics on the image and then "
"apply an endmember number estimation algorithm using these statistics. Two "
- "algorithms are available: \n"
- "1) Virtual Dimensionality (vd) [1][2] \n"
- "2) Eigenvalue Likelihood Maximization (elm) [3][4] \n"
- "The application then returns the estimated number of endmembers. \n"
- "References : \n"
+ "algorithms are available: \n\n "
+ " 1) Virtual Dimensionality (VD) [1] [2] \n "
+ " 2) Eigenvalue Likelihood Maximization (ELM) [3][4] \n"
+ "The application then returns the estimated number of endmembers. \n\n "
+ "References : \n\n "
"[1] C.-I. Chang and Q. Du, Estimation of number of spectrally distinct signal "
"sources in hyperspectral imagery, IEEE Transactions on Geoscience and Remote "
- "Sensing, vol. 43, no. 3, mar 2004. \n"
+ "Sensing, vol. 43, no. 3, mar 2004. \n "
"[2] J. Wang and C.-I. Chang, Applications of independent component analysis "
"in endmember extraction and abundance quantification for hyperspectral imagery"
", IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 9, pp. "
- "2601-1616, sep 2006. \n"
+ "2601-1616, sep 2006. \n "
"[3] Unsupervised Endmember Extraction of Martian Hyperspectral Images, B.Luo, "
- "J. Chanussot, S. Dout\'e and X. Ceamanos, IEEE Whispers 2009, Grenoble France, 2009 \n"
+ "J. Chanussot, S. Dout\'e and X. Ceamanos, IEEE Whispers 2009, Grenoble France, 2009 \n "
"[4] Unsupervised classification of hyperspectral images by using "
- "linear unmixing algorithm Luo, B. and Chanussot, J., IEEE Int. Conf. On Image \n"
+ "linear unmixing algorithm Luo, B. and Chanussot, J., IEEE Int. Conf. On Image"
"Processing(ICIP) 2009, Cairo, Egypte, 2009"
);
@@ -85,20 +85,19 @@ private:
AddDocTag(Tags::Hyperspectral);
- AddParameter(ParameterType_InputImage, "in", "Input Image Filename");
+ AddParameter(ParameterType_InputImage, "in", "Input Image Filename");
SetParameterDescription("in","The hyperspectral data cube input");
AddParameter(ParameterType_Choice, "algo", "Unmixing algorithm");
SetParameterDescription("algo", "The algorithm to use for the estimation");
AddChoice("algo.elm", "elm");
- SetParameterDescription("algo.elm", "Eigenvalue Likelihood Maximization");
+ SetParameterDescription("algo.elm", "Eigenvalue Likelihood Maximization algorithm");
AddChoice("algo.vd", "vd");
- SetParameterDescription("algo.vd", "virtual dimensionality");
+ SetParameterDescription("algo.vd", "Virtual Dimensionality algorithm");
- AddParameter( ParameterType_Float , "algo.vd.far" , "false alarm rate"
- "Maximum training predictors");
- SetMinimumParameterFloatValue("algo.vd.far",0);
- SetMaximumParameterFloatValue("algo.vd.far",1);
+ AddParameter( ParameterType_Float , "algo.vd.far" , "False alarm rate");
+ SetMinimumParameterFloatValue("algo.vd.far", 0);
+ SetMaximumParameterFloatValue("algo.vd.far", 1);
SetDefaultParameterFloat( "algo.vd.far" , 1.0E-3 );
SetParameterDescription( "algo.vd.far" ,
"False alarm rate for the virtual dimensionality algorithm");
diff --git a/Modules/Applications/AppHyperspectral/app/otbHyperspectralUnmixing.cxx b/Modules/Applications/AppHyperspectral/app/otbHyperspectralUnmixing.cxx
index 3029dbd330eddf9071129df26d474fac7cde156f..f50535e63e45c546cf32654b76293803a0ee91c3 100644
--- a/Modules/Applications/AppHyperspectral/app/otbHyperspectralUnmixing.cxx
+++ b/Modules/Applications/AppHyperspectral/app/otbHyperspectralUnmixing.cxx
@@ -95,13 +95,13 @@ private:
// Documentation
SetDocName("Hyperspectral data unmixing");
- SetDocLongDescription("The application applies a linear unmixing algorithm"
- "to an hyperspectral data cube. This method supposes that the mixture between"
- "aterials in the scene is macroscopic and simulates a linear mixing model of"
+ SetDocLongDescription("The application applies a linear unmixing algorithm "
+ "to an hyperspectral data cube. This method supposes that the mixture between "
+ "aterials in the scene is macroscopic and simulates a linear mixing model of "
"spectra.\n\n"
- "The Linear Mixing Model (LMM) acknowledges that reflectance"
- "spectrum associated with each pixel is a linear combination of pure"
- "materials in the recovery area, commonly known as endmembers. Endmembers can"
+ "The Linear Mixing Model (LMM) acknowledges that reflectance "
+ "spectrum associated with each pixel is a linear combination of pure "
+ "materials in the recovery area, commonly known as endmembers. Endmembers can "
"be estimated using the VertexComponentAnalysis application.\n\n"
"The application allows estimating the abundance maps with several algorithms:\n\n"
"* Unconstrained Least Square (ucls)\n"
@@ -121,10 +121,14 @@ private:
SetParameterDescription("in","The hyperspectral data cube input");
AddParameter(ParameterType_OutputImage, "out", "Output Image");
- SetParameterDescription("out","The output abundance map. The abundance fraction are stored in a multispectral image where band N corresponds to the fraction of endmembers N in each pixel.");
+ SetParameterDescription("out","The output abundance map. The abundance "
+ "fraction are stored in a multispectral image where band N corresponds "
+ "to the fraction of endmembers N in each pixel.");
AddParameter(ParameterType_InputImage, "ie", "Input endmembers");
- SetParameterDescription("ie","The endmembers (estimated pure pixels) to use for unmixing. Must be stored as a multispectral image, where each pixel is interpreted as an endmember.");
+ SetParameterDescription("ie","The endmembers (estimated pure pixels) to "
+ "use for unmixing. Must be stored as a multispectral image, where "
+ "each pixel is interpreted as an endmember.");
AddParameter(ParameterType_Choice, "ua", "Unmixing algorithm");
SetParameterDescription("ua", "The algorithm to use for unmixing");
diff --git a/Modules/Applications/AppHyperspectral/app/otbVertexComponentAnalysis.cxx b/Modules/Applications/AppHyperspectral/app/otbVertexComponentAnalysis.cxx
index 7c9b4260768728fcd3f84c7ab813bfce63f7fa0b..eeeb1fe41b22ed99e37bd4b9d331217ff9221327 100644
--- a/Modules/Applications/AppHyperspectral/app/otbVertexComponentAnalysis.cxx
+++ b/Modules/Applications/AppHyperspectral/app/otbVertexComponentAnalysis.cxx
@@ -50,25 +50,25 @@ private:
void DoInit() override
{
SetName("VertexComponentAnalysis");
- SetDescription("Given a set of mixed spectral vectors, estimate"
- "reference substances also known as endmembers using the Vertex"
+ SetDescription("Given a set of mixed spectral vectors, estimate "
+ "reference substances also known as endmembers using the Vertex "
"Component Analysis algorithm.");
// Documentation
SetDocName("Vertex Component Analysis");
- SetDocLongDescription("Apply the Vertex Component Analysis [1] to"
- "an hyperspectral image to extract endmembers. Given a set of mixed"
- "spectral vectors (multispectral or hyperspectral), the application"
- "estimates the spectral signature of reference substances also known"
+ SetDocLongDescription("Apply the Vertex Component Analysis [1] to "
+ "an hyperspectral image to extract endmembers. Given a set of mixed "
+ "spectral vectors (multispectral or hyperspectral), the application "
+ "estimates the spectral signature of reference substances also known "
"as endmembers.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
- SetDocSeeAlso("[1] J. M. P. Nascimento and J. M. B. Dias, Vertex"
- "component analysis: a fast algorithm to unmix hyperspectral data,"
- "in IEEE Transactions on Geoscience and Remote Sensing, vol. 43,"
- "no. 4, pp. 898-910, April 2005.J. M. P. Nascimento and"
- "J. M. B. Dias, Vertex component analysis: a fast algorithm to"
- "unmix hyperspectral data, in IEEE Transactions on Geoscience and"
+ SetDocSeeAlso("[1] J. M. P. Nascimento and J. M. B. Dias, Vertex "
+ "component analysis: a fast algorithm to unmix hyperspectral data, "
+ "in IEEE Transactions on Geoscience and Remote Sensing, vol. 43, "
+ "no. 4, pp. 898-910, April 2005.J. M. P. Nascimento and "
+ "J. M. B. Dias, Vertex component analysis: a fast algorithm to "
+ "unmix hyperspectral data, in IEEE Transactions on Geoscience and "
"Remote Sensing, vol. 43, no. 4, pp. 898-910, April 2005.");
AddDocTag(Tags::Hyperspectral);
@@ -78,9 +78,9 @@ private:
SetParameterDescription("in","Input hyperspectral data cube");
AddParameter(ParameterType_OutputImage, "outendm", "Output Endmembers");
- SetParameterDescription("outendm","Endmembers, stored in a"
- "one-line multi-spectral image.Each pixel corresponds to one"
- "endmembers and each band values corresponds to the spectral"
+ SetParameterDescription("outendm","Endmembers, stored in a "
+ "one-line multi-spectral image.Each pixel corresponds to one "
+ "endmembers and each band values corresponds to the spectral "
"signature of the corresponding endmember.");
MandatoryOn("outendm");