Commit 1bdf5b5f authored by Cédric Traizet's avatar Cédric Traizet

DOC: added documentation for EndmemberNumberEstimation application

parent b9524112
......@@ -53,11 +53,32 @@ private:
void DoInit() override
{
SetName("EndmemberNumberEstimation");
SetDescription(" ");
SetDescription("Estimates the number of endmembers in a hyperspectral image");
// Documentation
SetDocName("Endmember Number Estimation");
SetDocLongDescription(" ");
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"
"[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"
"[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"
"[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"
"[4] Unsupervised classification of hyperspectral images by using "
"linear unmixing algorithm Luo, B. and Chanussot, J., IEEE Int. Conf. On Image \n"
"Processing(ICIP) 2009, Cairo, Egypte, 2009"
);
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
SetDocSeeAlso("VertexComponentAnalysis, HyperspectralUnmixing");
......
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