Learning discriminative sparse representations for hyperspectral image classification

IEEE Journal on Selected Topics in Signal Processing

Volumn 9, Issue 6, 2015, Pages 1089-1104

  Du, Peijun ^a,b   Xue, Zhaohui ^a,b   Li, Jun ^c   Plaza, Antonio ^d  

^a Key Lab for Satellite Mapping Technology and Applications of National Administration of Surveying Mapping and Geoinformation of China   (China)

^b NANJING UNIVERSITY   (China)

^c SUN YAT SEN UNIVERSITY   (China)

^d UNIVERSITY OF EXTREMADURA   (Spain)

Author keywords

dictionary learning; discriminative sparse representation (DSR); Hyperspectral image classification; sparse multinomial logistic regression (SMLR); total variation (TV)

Indexed keywords

CONSTRAINED OPTIMIZATION; OPTIMIZATION; REGRESSION ANALYSIS; SPECTROSCOPY;

DICTIONARY LEARNING; HYPERSPECTRAL IMAGE CLASSIFICATION; MULTINOMIAL LOGISTIC REGRESSION; SPARSE REPRESENTATION; TOTAL VARIATION;

IMAGE CLASSIFICATION;

EID: 84939502049     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2015.2423260     Document Type: Article

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