Kalman detection of landmines in metal detector array data

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5089, Issue 2, 2003, Pages 1243-1251

  Abeynayake, Canicious ^a   Chant, Ian ^a   Nash, Graeme ^a  

^a DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION   (Australia)

Author keywords

Kalman filter; Landmine detection; Metal detector

Indexed keywords

ALGORITHMS; DATA ACQUISITION; GROUND PENETRATING RADAR SYSTEMS; IMAGING SYSTEMS; KALMAN FILTERING; METAL DETECTORS; ORDNANCE; SENSOR DATA FUSION; UNDERGROUND EXPLOSIONS;

MINE DETECTION SYSTEMS;

EXPLOSIVES;

EID: 0242712788     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.485832     Document Type: Conference Paper

References (4)

1. Ilaria Bottigliero, "120 Million landmines Deployed Worldwide: Fact or Fiction?" Pen & Sword Books Ltd., South Yorkshire, 2000
2. Canicious Abeynayake, Ian Chant, and Graeme Nash, " A modified Kalman detection algorithm applied to metal detection", Detection and Remediation Technologies for Mines and Mine like Targets VII, SPIE Proceedings 1-5 April 2002, Volume 4742, p. 836
3. Jerry M. Mendel, Lessons in Estimation Theory for Signal processing, Communications, and Control, Prentice hall PTR, 1995
4. Canicious Abeynayake and Ian Chant, "A Kalman filter-based approach to detect landmines from metal detector data", Proceedings, IGARSS2001, Sydney, 9-13 July 2001.