A Nonlinear Sparse Representation-Based Binary Hypothesis Model for Hyperspectral Target Detection

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

Volumn 8, Issue 6, 2015, Pages 2513-2522

  Zhang, Yuxiang ^a   Zhang, Liangpei ^a   Du, Bo ^a   Wang, Shugen ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Binary hypothesis; hyperspectral imagery (HSI); kernel; sparse representation; target detection

Indexed keywords

MIXTURES; SPECTROSCOPY; TARGET TRACKING;

BINARY HYPOTHESIS; DETECTION PERFORMANCE; HYPERSPECTRAL IMAGERY; HYPERSPECTRAL TARGET DETECTION; KERNEL; LINEAR MIXTURE MODELING; SPARSE REPRESENTATION; TARGET AND BACKGROUND;

RADAR TARGET RECOGNITION;

IMAGE ANALYSIS; NONLINEARITY; NUMERICAL MODEL; PATTERN RECOGNITION; REMOTE SENSING;

EID: 85027919151     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2368173     Document Type: Article

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