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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