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Proceedings Paper

Sensor fusion performance gain for buried mine/UXO detection using GPR, EMI, and MAG sensors
Author(s): Jay A. Marble; John G. Ackenhusen; John W. Wegrzyn; Joseph Mancuso; Chris M. Dwan
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Paper Abstract

In this presentation, we compare the gain in performance offered by combing the result of a ground-penetrating radar, an electromagnetic induction metal detector, and a magnetometer (MAG) against the performance offered by any one of these sensors alone on the problem of buried mine and unexploded ordnance detection. Using the community-wide DARPA background clutter data set, we characterize the single-channel performance of each of these detectors, describing the preprocessing and detection processing used for each. We then combine the sensor results, using a variety of binary decision-level Boolean methods. A performance gain was observed as a two-to-threefold reduction in the false alarm rate, operating at an 80 percent probability of detection, for 'majority voting', which was the best of the combining methods.

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: 10.1117/12.396235
Show Author Affiliations
Jay A. Marble, Veridian-ERIM International, Inc. (United States)
John G. Ackenhusen, Veridian-ERIM International, Inc. (United States)
John W. Wegrzyn, Veridian-ERIM International, Inc. (United States)
Joseph Mancuso, Veridian-ERIM International, Inc. (United States)
Chris M. Dwan, Veridian-ERIM International, Inc. (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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