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Implementation of algorithms focus on remote sensing applications using matlab
This project forked from grseb9s/tgrs_matlab
Implementation of algorithms focus on remote sensing applications using matlab
% This set of files contains the Matlab code % for the Bayesian supervised segmentation algorithm intoduced in the paper % % % % Li, J.; Bioucas-Dias, J. M.; Plaza, A.; , "Spectral–Spatial Hyperspectral % Image Segmentation Using Subspace Multinomial Logistic Regression and % Markov Random Fields," Geoscience and Remote Sensing, IEEE Transactions % on , vol.PP, no.99, pp.1-15, 0 doi: 10.1109/TGRS.2011.2162649 % % Files: % readme.m - this file % demo_test_AVIRIS.m - Matlab demo over real AVIRIS Indiana Pines dataset % demo_test_PaviaU.m - Matlab demo over real ROSIS Pavia University dataset % subspace_classifier.m - Matlab function file for subspace MLR algorithm % train_test_random_new.m - Matlab function to randomly select % training and testing set % subspace_mlogistic.m - Matlab function to compute the % multinomial distributions (one per sample) % ToMatrix.m - Matlab function to reshape a vector % to a matrix % ToVector.m - Matlab function to reshape a matrix % to a vector % % AVIRIS_Indiana_16class.mat,AVIRIS_Indiana_imgreal.mat - Matlab data file with AVIRIS % Indiana Pines dataset % % % PaviaU_im.mat, PaviaU_trainall.mat, PaviaU_test.mat - Matlab data % files for ROSIS Pavia University dataset % % % GCmex1.2.tar.gz - Matlab Wrapper for Graph Cuts % http://www.wisdom.weizmann.ac.il/~bagon/matlab.html % %% reference.bib - References. If you use this demo, please %% cite these references. % % Any suggestions and comments are appreciated, and please send them to the % authors: [email protected]. [email protected] [email protected]
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