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Proceedings Paper

Automatic mine detection algorithm using ground penetration radar signatures
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Paper Abstract

This paper describes an automatic mine detection algorithm (AMDA) based on the template matching technique. Specifically, this paper demonstrates that regardless of sensor artifacts and other perplexities including environment effects such as terrain variation or weather conditions, there will be distinctive information between targets and clutter imbedded in the signatures for the discrimination. This paper also includes the data analysis of the ground penetration radar signatures and quantifies the AMDA performance. This paper use a subset of the DARPA clutter data collected with the Geo-Centers ground penetration radar at Fort A.P. Hill and Fort Carson. This subset contains anti-personnel, and anti-tank mines buried from 1 to 6 inches deep with the size of the mine ranging from 2 to 12 inches in diameter. The total number of mines and the area coverage of this subset are about 30 and 600m2, respectively.

Paper Details

Date Published: 2 August 1999
PDF: 11 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.357114
Show Author Affiliations
Hanna Tran Haskett, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
J. Thomas Broach, U.S. Army Night Vision & Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 3710:
Detection and Remediation Technologies for Mines and Minelike Targets IV
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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