Paper
18 October 2001 Algorithm for automatic mine detection using a vehicle-mounted metal detector
Mark L. Yee, Amy A. Yee
Author Affiliations +
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark L. Yee and Amy A. Yee "Algorithm for automatic mine detection using a vehicle-mounted metal detector", Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); https://doi.org/10.1117/12.445462
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Land mines

Metals

Sensors

Detection and tracking algorithms

Mining

Signal detection

Denoising

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