unmixing_overview
所属分类:matlab编程
开发工具:matlab
文件大小:49KB
下载次数:87
上传日期:2016-01-06 10:39:42
上 传 者:
ico-frank
说明: 关于高光谱解混的代码 来源于hyperspectral unmixing 详细的说明可以见内部说明文件
(Hyperspectral Solutions of mixed code hyperspectral unmixing can see a detailed description of internal documentation)
文件列表:
unmixing_overview\include\affineProj.m (7916, 2012-05-10)
unmixing_overview\include\dirichlet.m (1499, 2012-01-15)
unmixing_overview\include\estNoise.m (4536, 2012-05-10)
unmixing_overview\include\hinge.m (82, 2009-04-14)
unmixing_overview\include\hysime.m (4853, 2012-05-10)
unmixing_overview\include\nfindr.m (2542, 2012-05-26)
unmixing_overview\include\sisal.m (15476, 2012-05-27)
unmixing_overview\include\soft.m (87, 2012-02-19)
unmixing_overview\include\soft_neg.m (185, 2009-04-14)
unmixing_overview\include\spectMixGen.m (12809, 2012-01-15)
unmixing_overview\include\sunsal.m (11409, 2012-02-18)
unmixing_overview\include\VCA.m (7914, 2012-05-12)
unmixing_overview\paper_scripts\geometric_unmixing\geo_unmixing_hmXS10.m (16931, 2012-05-27)
unmixing_overview\paper_scripts\geometric_unmixing\geo_unmixing_mp08.m (16910, 2012-05-27)
unmixing_overview\paper_scripts\geometric_unmixing\geo_unmixing_npp.m (16901, 2012-05-27)
unmixing_overview\paper_scripts\geometric_unmixing\geo_unmixing_pp.m (16887, 2012-05-27)
unmixing_overview\paper_scripts\linear_mixing_model\snr_sd.m (1214, 2012-05-27)
unmixing_overview\paper_scripts\sparse_regression\sparse_regression.m (5770, 2012-05-27)
unmixing_overview\paper_scripts\subspace_identification\denoise_eigen_image.m (2990, 2012-05-27)
unmixing_overview\paper_scripts\subspace_identification\orth_dpft_proj.m (1565, 2012-05-27)
unmixing_overview\paper_scripts\subspace_identification\projSpectra.m (1591, 2012-05-27)
unmixing_overview\setup.m (555, 2012-05-27)
unmixing_overview\include\BM3D (0, 2012-05-29)
unmixing_overview\include\deca_code (0, 2012-05-29)
unmixing_overview\include\mvcnmf (0, 2012-05-29)
unmixing_overview\include\mves (0, 2012-05-29)
unmixing_overview\include\SPICE (0, 2012-05-29)
unmixing_overview\paper_scripts\geometric_unmixing (0, 2012-05-29)
unmixing_overview\paper_scripts\linear_mixing_model (0, 2012-05-29)
unmixing_overview\paper_scripts\sparse_regression (0, 2012-05-29)
unmixing_overview\paper_scripts\statistical_methods (0, 2012-05-29)
unmixing_overview\paper_scripts\subspace_identification (0, 2012-05-29)
unmixing_overview\include (0, 2012-05-29)
unmixing_overview\paper_scripts (0, 2012-05-29)
unmixing_overview (0, 2015-11-08)
%% The code and data herein distributed reproduce the results published in
% the paper
%
% J. Bioucas-Dias, A. Plaza, N. Dobigeon, M. Parente, Q. Du, P. Gader,
% and J. Chanussot, "Hyperspectral unmixing overview: geometrical,
% statistical, and sparse regression-based approaches", IEEE Journal of
% Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5,
% no. 2, pp. 354-379, 2012.
%
%
%% The code is distributed in the folder "paper_scripts" and is organized
% according to the paper sections. Below is listed the correspondence
% between directories and sections and, for each directory, the list of
% scripts it contains and the respective figures in the paper.
%
% paper_scripts\linear_mixing_model (Section II)
%
% snr_sd.m -> Fig. 8
%
% paper_scripts\subspace_identification (Section III)
%
% projSpectra.m -> Fig. 9
%
% denoise_eigen_image.m -> plots in Fig. 10 (See Note 1 below)
%
% orth_dpft_proj.m -> Fig. 12
%
%
% paper_scripts\geometric_unmixing (Section IV)
%
% geo_unmixing_pp.m -> Fig. 15, top-left
% geo_unmixing_npp.m -> Fig. 15, top-right
% geo_unmixing_mp08.m -> Fig. 15, bottom-left
% geo_unmixing_hmX10.m -> Fig. 15, bottom-right
%
% NOTE: MVC-NMF results are not included in this version
%
%
% paper_scripts\statistical_methods
%
% Fig. 16 -> (TO BE INLUDED SOON)
% Fig. 17 -> (TO BE INLUDED SOON)
%
% paper_scripts\sparse_regression (Section VI)
%
% sparse_regression.m -> Fig. 19
%
%
%
%% Notes:
%
% 1) Package instalation: unzip the files to a directory and run the setup
% in this directory. The scripts listed above are then ready to run.
%
%
% 2) The script denoise_eigen_image.m uses the package BM3D
% (v1.9 (26 August 2011))to implement the denoising algorithm BM3D
% introduced in
%
% K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by
% sparse 3D transform-domain collaborative filtering," IEEE Trans.
% Image Process., vol. 16, no. 8, pp. 2080-2095, August 2007.
%
% The BM3D package is available at the
% BM3D web page: http://www.cs.tut.fi/~foi/GCF-BM3D
%
% Download this package and install it is the folder include/BM3D
%
%
%
%% ACKNOWLEDGMENTS
%
% The authors acknowledge the following individuals and organisations:
%
% - Dr. L. Miao for providing the matlab code fot the MVC-NMF algorithm
%
% L. Miao and H. Qi, "Endmember extraction from highly mixed data
% using minimum volume constrained nonnegative matrix factorization,"
% IEEE Transactions on Geoscience and Remote Sensing, vol. 45,
% no. 3, pp. 765–777, 2007.
%
% - Dr. Jose Nascimento for his support on the DECA code and data.
%
% - Dr. Robert O. Green and the AVIRIS team for making
% the Rcuprite hyperspectral data set available to the community
%
% - The United States Geological Survey (USGS) for their publicly available
% library of mineral signatures.
%
% - The Army Geospatial Center, US Army Corps of Engineers,
% for making the HYDICE Terrain data set available to the community.
%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Author: Jose M. Bioucas Dias, March 2012
%
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