Improved covariance matrices for point target detection in hyperspectral data

Optical Engineering

Volumn 47, Issue 7, 2008, Pages

  Caefer, Charlene E ^a   Silverman, Jerry ^b   Orthal, Oded ^c   Antonelli, Dani ^c   Sharoni, Yaron ^c   Rotman, Stanley R ^b,c  

^a AIR FORCE RESEARCH LABORATORY   (United States)

^b SOLID STATE SCIENTIFIC CORPORATION   (United States)

^c BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

covariance matrix; hyperspectral; Mahalanobis distance; point target detection

Indexed keywords

ALGORITHM COMPARISON; COVARIANCE MATRICES; FALSE-ALARM RATES; HYPERSPECTRAL; HYPERSPECTRAL DATA; MAHALANOBIS DISTANCES; PERFORMANCE BASED; POINT TARGET DETECTION; RECEIVER OPERATING CHARACTERISTIC CURVES; SEGMENT SELECTION; SPECTRAL STATISTICS;

ALGORITHMS; ATMOSPHERICS; IMAGE RESOLUTION; MATCHED FILTERS; OBJECT RECOGNITION; PIXELS; RADAR TARGET RECOGNITION;

COVARIANCE MATRIX;

EID: 77949787894     PISSN: 00913286     EISSN: 15602303     Source Type: Journal    
DOI: 10.1117/1.2965814     Document Type: Review

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