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Proceedings Paper

Algorithm for automatic mine detection using a vehicle-mounted metal detector
Author(s): Mark L. Yee; Amy A. Yee
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Paper Abstract

A new algorithm for automatic detection of mines using a vehicle-mounted metal detector is detailed and demonstrated in this paper. The sensor is the Vallon VMV 16 vehicle- mounted array on the Mine Hunter/Killer (MH/K) system; data were collected at a prepared test site. The resulting data have two notable characteristics. First, the sensor outputs a linear combination of the integrated time decay response over separate time windows, and not the time decay response itself. Second, the data are sampled in two dimensions, along the 16 coil array and along the direction of travel of the vehicle. Thus 2-dimensional spatial processing techniques are used, treating the sensor data as a 2-D array of pixels. Our algorithm also uses adaptive methods to enable detection of both high and low metal content mines. Mine detection results using this algorithm are presented and analyzed for the first time. In particular, the ability to detect mines with low metal content in the presence of noise will be quantified and discussed.

Paper Details

Date Published: 18 October 2001
PDF: 12 pages
Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); doi: 10.1117/12.445462
Show Author Affiliations
Mark L. Yee, Sandia National Labs. (United States)
Amy A. Yee, Sandia National Labs. (United States)


Published in SPIE Proceedings Vol. 4394:
Detection and Remediation Technologies for Mines and Minelike Targets VI
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Vivian George, Editor(s)

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