% % WSGR: Weighted sparse graph regularization DEMO. % Version: 1.0 % Date : Apr 2021 % % This demo shows the WSGR methods for hyperspectral image classification. % % fun_SGR.p ....... A function implementing the SGR model (complied in Matlab R2022a) % sunsal.m ..........A function conducting SR using sunsal algorithm % calcError.m .......A function for computing confusion matrix % soft.m ............A soft thresholding function % IP_WSGR.m ............. A main code to run WSGR on IP data sets % PU_WSGR.m ................... A main code to run WSGR on PU data sets % /data ................ The folder contains the IP and PU data sets % /GCmex2.0 .............The folder contains the Graph cuts codes % % % -------------------------------------- % Cite: % -------------------------------------- % % [1]Z. Xue, S. Yang and L. Zhang. Weighted Sparse Graph Regularization for Spectral-Spatial Classification of Hyperspectral Images[J]. IEEE Geoscience and Remote Sensing Letters, 2021, doi: 10.1109/LGRS.2020.3005168. % % -------------------------------------- % Copyright & Disclaimer % -------------------------------------- % % The programs contained in this package are granted free of charge for % research and education purposes only. % % Copyright (c) 2021 by Zhaohui Xue % zhaohui.xue@hhu.edu.cn % https://sites.google.com/site/zhaohuixuers/
ZhaohuiXue/WSGR-release
A DEMO for "Weighted Sparse Graph Regularization for Spectral–Spatial Classification of Hyperspectral Images" (Xue et al., GRSL, 2021)
MATLAB