Hyperspectral anomaly detection by the use of background joint sparse representation

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

Volumn 8, Issue 6, 2015, Pages 2523-2533

  Li, Jiayi ^a   Zhang, Hongyan ^a   Zhang, Liangpei ^a   Ma, Li ^b  

^a The Collaborative Innovation Center for Geospatial Technology   (China)

^b CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

Anomaly detection (AD); hyperspectral imagery; joint sparse representation (JSR); robust background estimation

Indexed keywords

EARTH SCIENCES; REMOTE SENSING;

ANOMALY DETECTION; ANOMALY DETECTION MODELS; BACKGROUND ESTIMATION; COMPLEMENTARY SUBSPACES; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL ANOMALY DETECTION; ORTHOGONAL SUBSPACE PROJECTION; SPARSE REPRESENTATION;

SPECTROSCOPY;

ALGORITHM; DETECTION METHOD; IMAGERY; REMOTE SENSING; UNSUPERVISED CLASSIFICATION;

EID: 85027928103     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2437073     Document Type: Article

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