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%% The code and data herein distributed reproduces the results published in the paper % % L. Zhuang and Michael K. Ng, % "Hyperspectral Mixed Noise Removal By�1-Norm-Based Subspace % Representation,” in IEEE Journal of Selected Topics in Applied % Earth Observations and Remote Sensing, 2020. % % URL: URL: https://sites.google.com/hkbu.edu.hk/linazhuang/home % %% Notes: % % 1) Package instalation: unzip the files to a directory and run the % script "runL1HyMixDe.m", which reproduce the % results of L1HyMixDe reported in above paper. % % % 2) The script L1HyMixDe.m uses the package BM3D % (v2 (30 January 2014))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 /BM3D % % % 3) L1HyMixDe.m script implents the respective algorithms. % %% ACKNOWLEDGMENTS % % The authors acknowledge the following individuals and organisations: % % % - Prof. Paolo Gamba from Pavia university, % for making the Pavia Centre data set available to the community. % % - Prof. David Landgrebe and Larry Biehl from Purdue University, % for making the Washington DC Mall data set available to the community. % % - Authors of BM3D method (Dr. Kostadin Dabov, Prof. Alessandro Foi, % Prof. Vladimir Katkovnik, and Prof. Karen Egiazarian) from Tampere % University of Technology, for making the BM3D demo software available % to the community. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % Author: Lina Zhuang, April 2020 %
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