Low-Rank and Sparse Representation with Adaptive Neighborhood Regularization for Hyperspectral Image Classification

Low-Rank and Sparse Representation (LRSR) method has gained popularity in Hyperspectral Image (HSI) processing. However, existing LRSR models rarely exploited spectral-spatial classification of HSI. In this paper, we proposed a novel Low-Rank and Sparse Representation with Adaptive Neighborhood Regu...

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Kaituhi matua:	Zhaohui XUE,Xiangyu NIE
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Surveying and Mapping Press 2022-03-01
Rangatū:	Journal of Geodesy and Geoinformation Science
Ngā marau:	|hyperspectral image (hsi)|spectral-spatial classification|low-rank and sparse representation (lrsr)|adaptive neighborhood regularization (anr)
Urunga tuihono:	http://jggs.sinomaps.com/fileup/2096-5990/PDF/1648713359479-960429154.pdf
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