Paper
22 August 2000 Sensor fusion performance gain for buried mine/UXO detection using GPR, EMI, and MAG sensors
Jay A. Marble, John G. Ackenhusen, John W. Wegrzyn, Joseph Mancuso, Chris M. Dwan
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jay A. Marble, John G. Ackenhusen, John W. Wegrzyn, Joseph Mancuso, and Chris M. Dwan "Sensor fusion performance gain for buried mine/UXO detection using GPR, EMI, and MAG sensors", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396235
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Sensors

General packet radio service

Land mines

Magnetometers

Binary data

Electromagnetic coupling

Iron

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