Share Email Print
cover

Proceedings Paper

Results from a forward-looking GPR mine detection system
Author(s): Joel Kositsky; Russell Cosgrove; Charles A. Amazeen; Peyman Milanfar
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In previous papers, we reported on the high-resolution ground-penetrating radar system designed, built, and deployed by SRI under contract to the Night Vision and Electronic Sensors Directorate at Fort Belvoir. Here, we report on some of the latest test results from the field demonstrations performed at government test sites, carefully designed to produce statistically significant results by employing many samples of a few representative metal and plastic mine types, buried at several depths. Significant improvements in performance above the baseline have been realized by using a number of statistically optimal image processing algorithms based on sound mathematical principles and techniques, guided by electromagnetic models of both mines and clutter. Principal component analysis was employed to define empirical models of buried mines using the polarimetric, complex data. A detector based on the generalized likelihood ratio test was then used on each image. Finally, multilook processing combined the results from several independent views of the same mines (at various ranges). For buried metal mines, at a probability of detection of 94%, the probability of false alarm per m2 decreased by an average factor of about four orders of magnitude over the baseline.

Paper Details

Date Published: 13 August 2002
PDF: 12 pages
Proc. SPIE 4742, Detection and Remediation Technologies for Mines and Minelike Targets VII, (13 August 2002); doi: 10.1117/12.479091
Show Author Affiliations
Joel Kositsky, SRI International (United States)
Russell Cosgrove, SRI International (United States)
Charles A. Amazeen, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Peyman Milanfar, Univ. of California/Santa Cruz (United States)


Published in SPIE Proceedings Vol. 4742:
Detection and Remediation Technologies for Mines and Minelike Targets VII
J. Thomas Broach; Russell S Harmon; Gerald J. Dobeck, Editor(s)

© SPIE. Terms of Use
Back to Top