Context-dependent multisensor fusion and its application to land mine detection

IEEE Transactions on Geoscience and Remote Sensing

Volumn 48, Issue 6, 2010, Pages 2528-2543

  Frigui, Hichem ^a   Zhang, Lijun ^b   Gader, Paul D ^c  

^a University of Louisville   (United States)

^b EMORY UNIVERSITY   (United States)

^c University of Florida   (United States)

Author keywords

Electromagnetic induction (EMI); Groundpenetrating radar (GPR); Land mine detection; Multialgorithm fusion; Multisensor fusion

Indexed keywords

AGGREGATION WEIGHTS; ALGORITHM FUSION; APPLICATION TO LAND; BURIAL DEPTHS; CLASSIFICATION METHODS; COHERENT CLUSTERS; COMMON FEATURES; CONFIDENCE VALUES; CONTEXT DEPENDENT; CONTEXT-BASED; DETECTION ALGORITHM; ELECTROMAGNETIC DATA; FEATURE SPACE; FUSION METHODS; GROUND PENETRATING RADAR; GROUND PENETRATING RADARS; LAND MINE DETECTION; LOCAL APPROACHES; MULTI-SENSOR FUSION; MULTIALGORITHM FUSION; NOVEL METHODS; RELATIVE PERFORMANCE; TWO-COMPONENT; WEATHER CONDITIONS; WIDE-BAND;

BOMBS (ORDNANCE); DAMPING; EDDY CURRENTS; ELECTROMAGNETIC INDUCTION; FEATURE EXTRACTION; GROUND PENETRATING RADAR SYSTEMS; INDUCTANCE MEASUREMENT; METAL DETECTORS; MINING; RADAR; SENSORS; SIGNAL DETECTION;

CLUSTERING ALGORITHMS;

ALGORITHM; BURIED TARGET; DATA ACQUISITION; DETECTION METHOD; ELECTROMAGNETIC FIELD; GROUND PENETRATING RADAR; LANDMINE; PERFORMANCE ASSESSMENT; SENSOR;

EID: 77952583270     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2009.2039936     Document Type: Article

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