A generalized likelihood ratio test for detecting land mines using multispectral images

IEEE Geoscience and Remote Sensing Letters

Volumn 5, Issue 3, 2008, Pages 547-551

  Anderson, John M M ^a,b  

^a IEEE

^b Howard University   (United States)

Author keywords

Anomaly detection; Expectation maximization (EM) algorithm; Generalized likelihood ratio test (GLRT); Multispectral images

Indexed keywords

BOMBS (ORDNANCE); BOOLEAN FUNCTIONS; DISTRIBUTION FUNCTIONS; FINANCIAL DATA PROCESSING; IMAGE ENHANCEMENT; MAXIMUM LIKELIHOOD ESTIMATION; NUMERICAL ANALYSIS; PIXELS; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT; TESTING; TRELLIS CODES;

AREA UNDER THE ROC CURVE (AUC); BACKGROUND PIXELS; DENSITY FUNCTIONS; DETECTION SCHEMES; FIGURE-OF-MERIT (FOM); GAUSSIAN; GAUSSIAN DENSITIES; GENERALIZED-LIKELIHOOD RATIO TEST (GLRT); LAND MINES; MULTI SPECTRAL IMAGING; PIXEL VALUES; PROBABILITY DENSITIES; RECEIVER OPERATING CHARACTERISTIC (ROC) CURVES; RX ALGORITHMS; SUB BLOCKS;

PROBABILITY DENSITY FUNCTION;

EID: 47849089402     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2008.922316     Document Type: Article

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