ZhaohuiXue / TLRSR-IDL

A DEMO for "Incremental Dictionary Learning-Driven Tensor Low-Rank and Sparse Representation for Hyperspectral Image Classification" (Xue et al., TGRS, 2022)

Home Page:https://ieeexplore.ieee.org/document/9956814

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% Incremental Dictionary Learning-Driven Tensor Low-Rank and Sparse Representation for Hyperspectral Image Classification.
%        Version: 1.0
%        Date   : Dec. 2022
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%    This demo implements the TLRSR-IDL model for hyperspectral image classification.
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%    
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%   Note: Required
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%   1. Matlab R2022a
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%   Cite:
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%   [1] Z. Xue, X. Nie, M. Zhang. Incremental Dictionary Learning-Driven Tensor Low-Rank and Sparse Representation for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-19.
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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. 
%
%   Copyright (c) 2022 by Zhaohui Xue
%   zhaohui.xue@hhu.edu.cn
%   --------------------------------------
%   For full package:
%   --------------------------------------
%   https://sites.google.com/site/zhaohuixuers/

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A DEMO for "Incremental Dictionary Learning-Driven Tensor Low-Rank and Sparse Representation for Hyperspectral Image Classification" (Xue et al., TGRS, 2022)

https://ieeexplore.ieee.org/document/9956814


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