文件列表:

demo_semisupervised_hyperspectral_segmentation\alfaExpansion.m (1085, 2009-11-04)
demo_semisupervised_hyperspectral_segmentation\AVIRIS_Indiana_16class.mat (19878, 2009-04-27)
demo_semisupervised_hyperspectral_segmentation\block.h (8401, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\calcError.m (1852, 2010-01-07)
demo_semisupervised_hyperspectral_segmentation\compile_gc.m (1357, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\demo1_classes.mat (756, 2009-11-26)
demo_semisupervised_hyperspectral_segmentation\demo1_simulated_data.asv (7427, 2010-10-06)
demo_semisupervised_hyperspectral_segmentation\demo1_simulated_data.m (7427, 2010-10-06)
demo_semisupervised_hyperspectral_segmentation\demo2_simulated_data.asv (4716, 2010-07-21)
demo_semisupervised_hyperspectral_segmentation\demo2_simulated_data.m (3919, 2010-07-21)
demo_semisupervised_hyperspectral_segmentation\energy.h (9111, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\Energy.m (1034, 2009-11-04)
demo_semisupervised_hyperspectral_segmentation\gcAlfaExpansion.m (6736, 2009-11-04)
demo_semisupervised_hyperspectral_segmentation\GCmex1.2.tar.gz (50452, 2008-11-14)
demo_semisupervised_hyperspectral_segmentation\GCoptimization.cpp (60543, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\GCoptimization.h (22673, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\graph.cpp (11663, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\graph.h (8891, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\GraphCut.cpp (766, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\GraphCut.h (2105, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\GraphCut.m (13709, 2007-07-08)
demo_semisupervised_hyperspectral_segmentation\GraphCut3dConstr.cpp (7959, 2007-01-21)
demo_semisupervised_hyperspectral_segmentation\GraphCut3dConstr.mexw32 (52736, 2010-06-30)
demo_semisupervised_hyperspectral_segmentation\GraphCut3dConstr.mexw32.pdb (306176, 2010-06-30)
demo_semisupervised_hyperspectral_segmentation\GraphCutConstr.cpp (4758, 2006-12-18)
demo_semisupervised_hyperspectral_segmentation\GraphCutConstr.mexw32 (50176, 2010-06-30)
demo_semisupervised_hyperspectral_segmentation\GraphCutConstr.mexw32.pdb (297984, 2010-06-30)
demo_semisupervised_hyperspectral_segmentation\GraphCutConstrSparse.cpp (4026, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\GraphCutConstrSparse.mexw32 (49152, 2010-06-30)
demo_semisupervised_hyperspectral_segmentation\GraphCutConstrSparse.mexw32.pdb (289792, 2010-06-30)
demo_semisupervised_hyperspectral_segmentation\GraphCutMex.cpp (16635, 2006-12-18)
demo_semisupervised_hyperspectral_segmentation\GraphCutMex.mexw32 (51712, 2010-06-30)
demo_semisupervised_hyperspectral_segmentation\GraphCutMex.mexw32.pdb (306176, 2010-06-30)
demo_semisupervised_hyperspectral_segmentation\imgreal.mat (5975952, 2008-12-02)
demo_semisupervised_hyperspectral_segmentation\LinkedBlockList.cpp (1571, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\LinkedBlockList.h (1765, 2005-07-21)
demo_semisupervised_hyperspectral_segmentation\maxflow.cpp (20848, 2007-11-13)
demo_semisupervised_hyperspectral_segmentation\mf2.dll (188474, 2009-11-04)
demo_semisupervised_hyperspectral_segmentation\mf2.m (36, 2009-11-04)
demo_semisupervised_hyperspectral_segmentation\mincut.m (1701, 2009-11-04)
... ...

% This set of files contains the Matlab code % for the semi-supervised Bayesian segmentation algorithm in the papers: % % [1] J. Li, J. Bioucas-Dias, and A. Plaza, % "Semi-supervised Hyperspectral classification", % in First IEEE GRSS Workshop on Hyperspectral Image and Signal Processing-WHISPERS'2009, % Grenoble, France, 2009. % %[2] J. Li, J. Bioucas-Dias, and A. Plaza, % "Semi-supervised Hyperspectral image segmentation using multinomial logistic % regression with active learning", IEEE Transactions on Geoscience and Remote % Sensing, 2009 (accepted for publication). % % [3] Y. Xue, A. Hartemink, L. Carin, B. Krishnapuram, D. Wiliams and M. Figueiredo % "On semi-supervised classification" % in Proc 18th Annual Conference on Neural Information Processing systems, % Vancouver, Canada, 2004 % % % % Files: % readme.m - this file % function demo1_simulated_data.m - Matlab demo over simulated data % correponding to A.1: Impact of including a spatial prior in [2] % function demo2_simulated_data.m - Matlab demo over simulated data % correponding to A.2: Impact of incorporating unlabeled samples in [2] % semi_graph.m - Matlab function file for semi-supervised algorithm % train_test_random_new.m - Matlab function to randomly select % training and testing set % mll.m - Matlab functon to generate simulated % image following a MLL distribution. % splitimage.m - function to compute the compute class probalilities % mlogistic.m - Matlab function to compute the % multinomial distributions (one per sample) % % GCmex1.2.tar.gz - Matlab Wrapper for Graph Cuts % http://www.wisdom.weizmann.ac.il/~bagon/matlab.html % % References.bib - References. If you use this demo, please % cite these references. % % % Any suggestions and comments are appreciated, and please send them to the % authors: jun@lx.it.pt. bioucas@lx.it.pt

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