Trained detection of buried mines in SAR images via the deflection-optimal criterion

IEEE Transactions on Geoscience and Remote Sensing

Volumn 42, Issue 11, 2004, Pages 2569-2575

  Cosgrove, Russell B ^a   Milanfar, Peyman ^b   Kositsky, Joel ^a  

^a SRI INTERNATIONAL   (United States)

^b University of California Santa Cruz   (United States)

Author keywords

Automatic target recognition; Buried mines; Deflection; Detection; Principal components; Synthetic aperture radar (sar); Training

Indexed keywords

ALGORITHMS; AUTOMATIC TARGET RECOGNITION; DATABASE SYSTEMS; PARAMETER ESTIMATION; RANDOM PROCESSES; SIGNAL TO NOISE RATIO; STATISTICAL METHODS; SYNTHETIC APERTURE RADAR;

BURIED MINES; DEFLECTION; DETECTION; PRINCIPAL COMPONENTS;

MINES;

EID: 9944225182     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2004.834591     Document Type: Article

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