ZhaohuiXue / SPCLSR-DID

A DEMO for "Structure-Prior-Constrained Low-Rank and Sparse Representation With Discriminative Incremental Dictionary for Hyperspectral Image Classification" (Nie et al., TGRS 2024)

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

% % Structure-Prior-Constrained Low-Rank and Sparse Representation With Discriminative Incremental Dictionary for Hyperspectral Image Classification. % Version: 1.0 % Date : Jan. 2024 % % This demo implements the SPCLSR-DID model for hyperspectral image classification. % %
% % -------------------------------------- % Note: Required % -------------------------------------- % 1. Matlab R2022a % -------------------------------------- % Cite: % -------------------------------------- % % [1] X. Nie, Z. Xue, C. Lin, L. Zhang and H. Su. Structure-Prior-Constrained Low-Rank and Sparse Representation With Discriminative Incremental Dictionary for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-19 % % -------------------------------------- % Copyright & Disclaimer % -------------------------------------- % % The programs contained in this package are granted free of charge for % research and education purposes only. % % Copyright (c) 2024 by Zhaohui Xue % zhaohui.xue@hhu.edu.cn % -------------------------------------- % For full package: % -------------------------------------- % https://sites.google.com/site/zhaohuixuers/

About

A DEMO for "Structure-Prior-Constrained Low-Rank and Sparse Representation With Discriminative Incremental Dictionary for Hyperspectral Image Classification" (Nie et al., TGRS 2024)


Languages

Language:MATLAB 100.0%