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Proceedings Paper

Model-based sensor fusion for minefield detection
Author(s): Bernhard Bargel; Karl-Heinz Bers; Gisela Stein; Gerhard A. Traeger
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Paper Abstract

Minefields have become an increasing threat in modern warfare due to new developments in electronic and explosive technologies. Therefore the planning and realization of troop movements need a far-reaching, fast running detection of minefields and a determination of their precise extension and location. For this task, an airborne reconnaissance system (AAMIS) will be realized by German industry. The technical concept of AAMIS comprises the multisensorial equipment, the carrier, the data transmission, the ground station, and the data processing. Within the scope of AAMIS, the problem of higher, sophisticated data processing will be addressed by FIM. Based on the long experience in image processing, our task hereby is focusing on the following main topics: (1) detection of individual (buried or unburied) mines as cues to minefields using iconic data processing, model-based data analysis, and sensor fusion; (2) determination of minefields and their outlines by methods of structure analysis and grouping based on the detected individual mines; and (3) extraction of background structures and environmental objects to support the detection of individual mines and the determination of minefields.

Paper Details

Date Published: 20 June 1995
PDF: 10 pages
Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211347
Show Author Affiliations
Bernhard Bargel, Forshungsinstitut fuer Informationsverarbeitung und Mustererkennung (Germany)
Karl-Heinz Bers, Forshungsinstitut fuer Informationsverarbeitung und Mustererkennung (Germany)
Gisela Stein, Forshungsinstitut fuer Informationsverarbeitung und Mustererkennung (Germany)
Gerhard A. Traeger, Wehrtechnische Dienststelle fuer Fernmeldewesen und Electronik (Germany)


Published in SPIE Proceedings Vol. 2496:
Detection Technologies for Mines and Minelike Targets
Abinash C. Dubey; Ivan Cindrich; James M. Ralston; Kelly A. Rigano, Editor(s)

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