Matlab code for nonparametric detection of nonlinearly mixed pixels in hyperspectral images.
This Package has all programs and third part software to run the simulations presented in [1]. All third part software used here has free distribution and noncomercial use licenses. The routine setup.m sets up the matlab path for our and third party software and other configuration needed. All third party software is listed below.
The use and redistribution of this code is allowed for noncomercial purposes as long as the copyrights presented here are replicated.
Author: Tales Imbiriba.
Date: December 2015.
Ref.:
[1] T. Imbiriba, J.C.M. Bermudez, C. Richard, J.-Y. Tourneret, "Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images", to appear in the IEEE Transaction on Image Processing Magazine, 2015.
Main Files:
setup.m This program adds all the needed code (ours and third part) to matlabs path. Furthermore it also creates runOnAllJavaMonitorCP.m function needed by the java pregression Monitor used with 'parfor' to speed up simulations.
allSamplesGPLSRatioNonlinearMixtureDetection.m This program call the detectors and generates the ROCs and histograms of the statistics.
detectAndUnmix_IteratEMEst_SynthData_RecError.m This script detect nonlinearly mixed pixels, using different detectors, and unmix the data using FCLS or SK-Hype. It also has the option to estimate the endmembers using the proposed method calling the function iterativeEndmemberEstAndNonlinDetect.m
IndianPines_IterativeMVSEndmemberEstimationAndDetection.m This program Unmix the Indian Pines image using the proposed endmember estimation and the detect-then-unmix strategy as described in [1].
Cuprite_Simulation.m This program executes the simulation with the Cuprite Mining field.
Third part software:
SK-Hype (Matlab code avaiable at http://cedric-richard.fr/pub.html)
MVES - Minimum volume enclosing simplex (http://mx.nthu.edu.tw/~tsunghan/Source%20codes.html)
ParforProgMon version 2 - progress monitor in parfor loops (copyright below)
CCRLB - Nonlinearity detector considering the PPNMM. Provided by Yoann Altmann.
SEDUMI - Matlab Toolbox for Linear, Second order, Semidefinite or mixed problems.
It can handle free variables and complex data as well. (http://sedumi.ie.lehigh.edu)
GPML Version 3.3 - Gaussian Process package. (Copyright (c) by Carl Edward Rasmussen and Hannes
Nickisch, 2013-10-19.) avaiable at http://www.gaussianprocess.org/gpml/code/matlab/doc/index.html
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ParforProgMonv2:
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