ZhaohuiXue / SGR-release

A DEMO for "Sparse graph regularization for robust crop mapping using hyperspectral remotely sensed imagery with very few in situ data" (Xue et al., ISPRS P&RS, 2017)

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% SGR: Sparse graph regularization DEMO.
%        Version: 1.0
%        Date   : Apr 2021
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%    This demo shows the SGR methods for robust crop mapping using hyperspectral image classification with very few in-situ data.
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%    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
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%   Cite:
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%   [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.
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%   Copyright & Disclaimer
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%   The programs contained in this package are granted free of charge for
%   research and education purposes only. 
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%   Copyright (c) 2021 by Zhaohui Xue
%   zhaohui.xue@hhu.edu.cn
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%   For full package:
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%   https://sites.google.com/site/zhaohuixuers/

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A DEMO for "Sparse graph regularization for robust crop mapping using hyperspectral remotely sensed imagery with very few in situ data" (Xue et al., ISPRS P&RS, 2017)


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