Hyperspectral image classification by exploring low-rank property in spectral or/and spatial domain

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

Volumn 10, Issue 6, 2017, Pages 2910-2921

  Mei, Shaohui ^a   Bi, Qianqian ^a   Ji, Jingyu ^a   Hou, Junhui ^b   Du, Qian ^c  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Hyperspectral classification; Low rank; Spectral spatial; Spectral variation

Indexed keywords

BENCHMARKING; CLASSIFICATION (OF INFORMATION); HYPERSPECTRAL IMAGING; SPECTROSCOPY; STRAIN MEASUREMENT;

HYPERSPECTRAL; IMAGING CONDITIONS; LOW-RANK PROPERTIES; SPATIAL DOMAINS; SPATIAL SPACES; SPECTRAL DOMAINS; SPECTRAL SPACES; SPECTRAL VARIATION;

IMAGE CLASSIFICATION;

DATA SET; IMAGE CLASSIFICATION; SPATIAL ANALYSIS; SPECTRAL ANALYSIS;

EID: 85011305647     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2017.2650939     Document Type: Article

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