From f401a05ce1c03223d665d16635c7386b416b3f18 Mon Sep 17 00:00:00 2001
From: ctraizet <cedric.traizet@c-s.fr>
Date: Thu, 14 Mar 2019 10:20:46 +0100
Subject: [PATCH] DOC: the virtual dimensionality algorithm is also referred as
HFC
---
.../AppHyperspectral/app/otbEndmemberNumberEstimation.cxx | 8 ++++----
.../include/otbVirtualDimensionality.h | 4 ++--
2 files changed, 6 insertions(+), 6 deletions(-)
diff --git a/Modules/Applications/AppHyperspectral/app/otbEndmemberNumberEstimation.cxx b/Modules/Applications/AppHyperspectral/app/otbEndmemberNumberEstimation.cxx
index 7c2480f434..3534cd8513 100644
--- a/Modules/Applications/AppHyperspectral/app/otbEndmemberNumberEstimation.cxx
+++ b/Modules/Applications/AppHyperspectral/app/otbEndmemberNumberEstimation.cxx
@@ -61,7 +61,7 @@ private:
"apply an endmember number estimation algorithm using these statistics. Two "
"algorithms are available:\n\n"
- "1. Virtual Dimensionality (VD) [1][2]\n"
+ "1. Virtual Dimensionality (HFC-VD) [1][2]\n"
"2. Eigenvalue Likelihood Maximization (ELM) [3][4]\n\n"
"The application then returns the estimated number of endmembers.\n\n"
@@ -99,9 +99,9 @@ private:
AddParameter(ParameterType_Choice, "algo", "Unmixing algorithm");
SetParameterDescription("algo", "The algorithm to use for the estimation");
AddChoice("algo.elm", "Eigenvalue Likelihood Maximization");
- SetParameterDescription("algo.elm", "");
+ SetParameterDescription("algo.elm", "Eigenvalue Likelihood Maximization algorithm");
AddChoice("algo.vd", "Virtual Dimensionality");
- SetParameterDescription("algo.vd", "");
+ SetParameterDescription("algo.vd", "HFC Virtual Dimensionality algorithm");
AddParameter( ParameterType_Float , "algo.vd.far" , "False alarm rate");
SetMinimumParameterFloatValue("algo.vd.far", 0);
@@ -155,7 +155,7 @@ private:
}
else if (algorithm=="vd")
{
- otbAppLogINFO("Estimation algorithm: Virtual Dimensionality.");
+ otbAppLogINFO("Estimation algorithm: HFC Virtual Dimensionality.");
auto vd = VirtualDimensionalityType::New();
vd->SetCovariance(covarianceMatrix);
vd->SetCorrelation(correlationMatrix);
diff --git a/Modules/Hyperspectral/EndmembersExtraction/include/otbVirtualDimensionality.h b/Modules/Hyperspectral/EndmembersExtraction/include/otbVirtualDimensionality.h
index 1c8a5bb7e5..8ef4d06fa9 100644
--- a/Modules/Hyperspectral/EndmembersExtraction/include/otbVirtualDimensionality.h
+++ b/Modules/Hyperspectral/EndmembersExtraction/include/otbVirtualDimensionality.h
@@ -33,9 +33,9 @@ namespace otb
/** \class VirtualDimensionality
* \brief Estimates the number of endmembers in a hyperspectral image
- * with the Virtual Dimensionality method
+ * with the Virtual Dimensionality (HFC) method
*
- * This filter applies the VD (Virtual Dimensionality) algorithm to an
+ * This filter applies the HFC-VD (Virtual Dimensionality) algorithm to an
* hyperspectral image and outputs the number of endmembers.
* It takes as input the covariance and correlation matrices of the input data,
* the number of observed pixel for thoses matrices estimations,
--
GitLab