A Dissimilarity-Weighted Sparse Self-Representation Method for Band Selection in Hyperspectral Imagery Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 9, Issue 9, 2016, Pages 4374-4388

  Sun, Weiwei ^a,b   Zhang, Liangpei ^a   Zhang, Lefei ^c   Lai, Yenming Mark ^d  

^a WUHAN UNIVERSITY   (China)

^b NINGBO UNIVERSITY   (China)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^d UNIVERSITY OF MARYLAND   (United States)

Author keywords

Band selection; classification; dissimilarity weighted sparse self representation (DWSSR); hyperspectral imagery (HSI)

Indexed keywords

ENCODING (SYMBOLS); SPECTROSCOPY;

ALTERNATING DIRECTION METHOD OF MULTIPLIERS; CLASSIFICATION ACCURACY; DISSIMILARITY MEASURES; HYPERSPECTRAL IMAGERY; HYPERSPECTRAL IMAGERY CLASSIFICATIONS; REPRESENTATION METHOD; SPARSE REPRESENTATION; SPECTRAL INFORMATION DIVERGENCES;

REMOTE SENSING;

ACCURACY ASSESSMENT; DATA SET; IMAGE CLASSIFICATION; NUMERICAL MODEL; SPECTRAL ANALYSIS;

EID: 84963575156     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2539981     Document Type: Article

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