% % SGR: Sparse graph regularization DEMO. % Version: 1.0 % Date : Apr 2021 % % This demo shows the SGR methods for robust crop mapping using hyperspectral image classification with very few in-situ data. % % fun_SGR.p ....... A function implementing the SGR model (compiled 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 % CASI_SASI_SGR.m ..... A main code to run SGR on CASI/SASI Heihe data sets % /data ................ The folder contains the CASI/SASI Heihe data sets % /GCmex2.0 .............The folder contains the Graph cuts codes % % % -------------------------------------- % Cite: % -------------------------------------- % % [1]Z. Xue, P. Du, J. Li, H. Su. Sparse graph regularization for robust crop mapping using hyperspectral remotely sensed imagery with very few in situ data[J]. ISPRS Journal of Photogrammetry Remote Sensing, 2017, 124: 1-15. % % % -------------------------------------- % 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 % -------------------------------------- % For full package: % -------------------------------------- % https://sites.google.com/site/zhaohuixuers/