Hybrid detectors based on selective endmembers

IEEE Transactions on Geoscience and Remote Sensing

Volumn 48, Issue 6, 2010, Pages 2633-2646

  Zhang, Liangpei ^a   Du, Bo ^a   Zhong, Yanfei ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Fully constrained least squares; Hyperspectral data; Linear mixture models; Target detection

Indexed keywords

CONSTRAINED LEAST SQUARES; ENDMEMBERS; HYBRID DETECTORS; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGE ANALYSIS; HYPERSPECTRAL IMAGERY; LINEAR MIXTURE MODELS; LINEAR UNMIXING; MATCHED SUBSPACE DETECTORS; QUANTITATIVE INFORMATION; SELECTIVE DETECTORS; SPATIAL CHARACTERISTICS; SPATIAL RESOLUTION; SPECTRAL CHARACTERISTICS; STATISTICAL RULES; SUBPIXEL TARGET DETECTION; SUBPIXEL TARGETS; TARGET DETECTION;

IMAGE ANALYSIS; PIXELS; RADAR TARGET RECOGNITION; REMOTE SENSING; TARGET DRONES; TARGETS;

DETECTORS;

DETECTION METHOD; IMAGE ANALYSIS; LEAST SQUARES METHOD; PIXEL; REMOTE SENSING; SENSOR; SPATIAL DATA;

EID: 77952585265     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2040284     Document Type: Article

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