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*** The code is for the work, if you find it is useful, please cite our work: [1] J. Jiang, C. Chen, Y. Yu, X. Jiang, and J. Ma, "Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification," IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 3, pp. 404-408, 2017. *** To generate the file of ***_randp.mat for other database, you can use the randpTest.m to generate. If you need another two datasets (PaviaU and Salinas), please feel free to contact me. Or you can download them from http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes PaviaU: http://www.ehu.eus/ccwintco/uploads/e/ee/PaviaU.mat, http://www.ehu.eus/ccwintco/uploads/5/50/PaviaU_gt.mat Salinas: http://www.ehu.eus/ccwintco/uploads/a/a3/Salinas_corrected.mat, http://www.ehu.eus/ccwintco/uploads/f/fa/Salinas_gt.mat
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Matlab code for hyperspectral image classification based on JSaCR (IEEE GRSL, 2017)
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