A geometrical feature based sensor fusion model of GPR and IR for detection and classification of anti-personnel mines

Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007

Volumn , Issue , 2007, Pages 849-854

  Nath, Baikunth ^a,b   Bhuiyan, Alauddin ^b  

^a IEEE

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALARM SYSTEMS; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; DETECTORS; FUSION REACTIONS; GEOLOGICAL SURVEYS; GEOPHYSICAL PROSPECTING; INTELLIGENT CONTROL; INTELLIGENT SYSTEMS; METALS; NEURAL NETWORKS; NUCLEAR PHYSICS; PERSONNEL; RADAR; RADAR ANTENNAS; RADAR IMAGING; SENSORS; SYSTEMS ANALYSIS; VECTORS;

ANTI PERSONNEL (AP) MINES; DETECTION ACCURACY; FALSE ALARM RATE (FAR); FEATURE BASED; FEATURE VECTOR (FV); GEOMETRICAL SHAPES; GROUND-PENETRATING RADAR (GPR); INFORMATION RETRIEVAL (IR) TECHNIQUES; INFRARED (IR); INTERNATIONAL CONFERENCES; PROBABILISTIC NEURAL NETWORK (PRNN); SENSOR FUSION (SF); SYSTEMS DESIGN; TARGET DETECTIONS;

SENSOR DATA FUSION;

EID: 48349108463     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2007.4389714     Document Type: Conference Paper

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