Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images

IEEE Transactions on Image Processing

Volumn 25, Issue 11, 2016, Pages 5345-5357

  Du, Bo ^a,b   Zhang, Yuxiang ^c   Zhang, Liangpei ^a   Tao, Dacheng ^b  

^a WUHAN UNIVERSITY   (China)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

Hyperspectral imagery; sparse representation; statistical characteristic; target detection

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); REMOTE SENSING; SAMPLING; SPECTROSCOPY; TARGET TRACKING;

ADDITIVE GAUSSIAN NOISE; CLASS-SPECIFIC DICTIONARIES; GENERALIZED LIKELIHOOD RATIO TEST; HYPER-SPECTRAL IMAGERIES; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL TARGET DETECTION; SPARSE REPRESENTATION; STATISTICAL CHARACTERISTICS;

RADAR TARGET RECOGNITION;

EID: 84991246531     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2016.2601268     Document Type: Article

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