A support vector method for anomaly detection in hyperspectral imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 44, Issue 8, 2006, Pages 2282-2291

  Banerjee, Amit ^a,b   Burlina, Philippe ^a,b   Diehl, Chris ^a,b  

^a IEEE   (United States)

^b JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

Author keywords

Hyperspectral; Support vector data description; Target detection

Indexed keywords

ANOMALY DETECTORS; HYPERSPECTRAL; SUPPORT VECTOR DATA DESCRIPTION (SVDD); TARGET DETECTION;

ALGORITHMS; COMPUTATIONAL GEOMETRY; DECISION THEORY; GAUSSIAN NOISE (ELECTRONIC); NUMBER THEORY; SENSORS; STATISTICAL METHODS; VECTORS;

IMAGE PROCESSING;

EID: 33746885881     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2006.873019     Document Type: Article

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