A Symmetric Sparse Representation Based Band Selection Method for Hyperspectral Imagery Classification

A novel Symmetric Sparse Representation (SSR) method has been presented to solve the band selection problem in hyperspectral imagery (HSI) classification. The method assumes that the selected bands and the original HSI bands are sparsely represented by each other, i.e., symmetrically represented. Th...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Weiwei Sun, Man Jiang, Weiyue Li, Yinnian Liu
Format:	Article
Language:	English
Published:	MDPI AG 2016-03-01
Subjects:	symmetric sparse representation band selection hyperspectral imagery classification archetypal analysis
Online Access:	http://www.mdpi.com/2072-4292/8/3/238