%% This set of files contains the Matlab code for the comparison experiments %% in the following paper: % % [1] L. He, J. Li, C. Liu and S. Li, % Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines. % IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1579-1597, March 2018. % %% The Gabor features are generated by DLRGF: % % [2] L. He, J. Li, A. Plaza and Y. Li, % Discriminative Low-Rank Gabor Filtering for Spectral¨CSpatial Hyperspectral Image Classification, % IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 3, pp. 1381-1395, March 2017. % %% The EMAP features are built by: % % [3] M. D. Mura, A. Villa, J. A. Benediktsson, J. Chanussot, and L. Bruzzone, % Classification of hyperspectral images by using extended morphological attribute profiles and independent component analysis, % IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 3, pp. 542¨C546, May 2011. % %% The Multinomial logistic regression (MLR) implimentation is by: % % [4] J. Li, J. Bioucas-Dias and A. Plaza. % Hyperspectral Image Segmentation Using a New Bayesian Approach with Active Learning, % IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 10, pp.3947-3960, October 2011. % %% the SVM implitation is by libSVM: % % [5] Chih-Chung Chang and Chih-Jen Lin, % LIBSVM : a library for support vector machines. % ACM Transactions on Intelligent Systems and Technology, 2:27:1--27:27, 2011. % Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm % %% The LBP is implemented by: % % [6] J. Li, J. M. Bioucas-Dias and A. Plaza, % Spectral¨CSpatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active Learning, % IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 2, pp. 844-856, Feb. 2013. % %% %% If you use this demo, please cite these references %% --- [1][2][3][4][5][6] --- %% %% For their BibTeX formats, please see %% --- Reference.bib --- %% %% For their RIS formats, please see %% --- Reference.enl --- %% %% % % Any suggestions and comments are appreciated, and please send them to % the authors: % helin@scut.edu.cn; lijun48@mail.sysu.edu.cn; sysuliuchy@163.com
Vikki23/Demo_spectral_spatial_hyperspectral_classification
This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.
MATLAB