Superpixel Nonlocal Weighting Joint Sparse Representation for Hyperspectral Image Classification

Superpixel Nonlocal Weighting Joint Sparse Representation for Hyperspectral Image Classification

Joint sparse representation classification (JSRC) is a representative spectral–spatial classifier for hyperspectral images (HSIs). However, the JSRC is inappropriate for highly heterogeneous areas due to the spatial information being extracted from a fixed-sized neighborhood block, which is often un...

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Bibliographic Details
Main Authors: Aizhu Zhang, Zhaojie Pan, Hang Fu, Genyun Sun, Jun Rong, Jinchang Ren, Xiuping Jia, Yanjuan Yao
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
spatial–spectral fusion
joint sparse representation classification (JSRC)
hyperspectral imaging
superpixel
nonlocal weighting
Online Access:https://www.mdpi.com/2072-4292/14/9/2125

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