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Proceedings Paper

Sensor fusion algorithms for the detection of land mines
Author(s): Marcel G. J. Breuers; Piet B. W. Schwering; Sebastiaan P. van den Broek
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Paper Abstract

This paper reports on selection of suitable sensor fusion techniques for use in hand carried and vehicle mounted mine detection systems for HOM-2000. Various techniques like Bayes, Dempster-Shafer, voting logic and neural networks are considered. Guidelines for selection of an appropriate fusion level are formulated. Experimental data are presented to illustrate the advantages that can be obtained through the use of sensor fusion.

Paper Details

Date Published: 2 August 1999
PDF: 7 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.356996
Show Author Affiliations
Marcel G. J. Breuers, TNO Physics and Electronics Lab. (Netherlands)
Piet B. W. Schwering, TNO Physics and Electronics Lab. (Netherlands)
Sebastiaan P. van den Broek, TNO Physics and Electronics Lab. (Netherlands)


Published in SPIE Proceedings Vol. 3710:
Detection and Remediation Technologies for Mines and Minelike Targets IV
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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