Local Matrix Feature-Based Kernel Joint Sparse Representation for Hyperspectral Image Classification

Hyperspectral image (HSI) classification is one of the hot research topics in the field of remote sensing. The performance of HSI classification greatly depends on the effectiveness of feature learning or feature design. Traditional vector-based spectral–spatial features have shown good performance...

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Autors principals:	Xiang Chen, Na Chen, Jiangtao Peng, Weiwei Sun
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-09-01
Col·lecció:	Remote Sensing
Matèries:	hyperspectral image classification joint sparse representation covariance correntropy
Accés en línia:	https://www.mdpi.com/2072-4292/14/17/4363
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