Group Sparse Representation Based on Nonlocal Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification

Spectral-spatial classification has been widely applied for remote sensing applications, especially for hyperspectral imagery. Traditional methods mainly focus on local spatial similarity and neglect nonlocal spatial similarity. Recently, nonlocal self-similarity (NLSS) has gradually gained support...

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Bibliografske podrobnosti

Principais autores:	Haoyang Yu, Lianru Gao, Wenzhi Liao, Bing Zhang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2018-05-01
Serija:	Sensors
Teme:	hyperspectral imagery classification group sparse representation (GSR) nonlocal spatial similarity local spectral similarity
Online dostop:	http://www.mdpi.com/1424-8220/18/6/1695
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