Deep belief networks for false alarm rejection in forward-looking ground-penetrating radar

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 9454, Issue , 2015, Pages

  Becker, John ^a   Havens, Timothy C ^a,b   Pinar, Anthony ^a   Schulz, Timothy J ^a  

^a Michigan Technological University   (United States)

^b Michigan Technological University   (United States)

Author keywords

Deep belief networks; Explosive hazards; Ground penetrating radar; Signal processing; Unsupervised learning

Indexed keywords

ALARM SYSTEMS; BAYESIAN NETWORKS; ERRORS; EXPLOSIVES; GEOLOGICAL SURVEYS; GROUND PENETRATING RADAR SYSTEMS; HAZARDS; RADAR; RADAR SIGNAL PROCESSING; SIGNAL PROCESSING; UNSUPERVISED LEARNING;

CONSTANT FALSE ALARM RATE; DEEP BELIEF NETWORK (DBN); DEEP BELIEF NETWORKS; EXPLOSIVE HAZARDS; FORWARD-LOOKING GROUND PENETRATING RADAR; FORWARD-LOOKING GROUND-PENETRATING RADAR SYSTEMS; GROUND PENETRATING RADAR; LOW-DIMENSIONAL REPRESENTATION;

EXPLOSIVES DETECTION;

EID: 84943387057     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2176855     Document Type: Conference Paper

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