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Proceedings Paper

Statistical sensor fusion for countermine applications
Author(s): Mark L. Yee; Katherine M. Simonson; Gerard E. Sleefe
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Paper Abstract

In this paper, a statistical technique for multi-sensor data fusion is applied to countermine problems. The fusion method has previously been shown to be a powerful tool in SAR/ATR applications. An earlier study, using data from the separate x, y and z coils of the EM61-3D metal detector collected at the Seabee site at Ft. Carson, demonstrated that the method shows promise for countermine applications as well. This paper briefly reviews the mathematical foundation of the fusion technique and then a new application to multi-sensor data for the Mine Hunter/Killer system is discussed at length. The sensor suite includes a ground-penetrating radar, metal detectors, and an IR camera; data were collected at Fort AP Hill, VA. The results of applying the probabilistic fusion method to these multi-sensor data are present and analyzed in detail for the first time. The advantages and limitations of using this fusion approach for countermine applications are discussed.

Paper Details

Date Published: 22 August 2000
PDF: 12 pages
Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); doi: 10.1117/12.396313
Show Author Affiliations
Mark L. Yee, Sandia National Labs. (United States)
Katherine M. Simonson, Sandia National Labs. (United States)
Gerard E. Sleefe, Sandia National Labs. (United States)


Published in SPIE Proceedings Vol. 4038:
Detection and Remediation Technologies for Mines and Minelike Targets V
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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