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Proceedings Paper

New results in fuzzy-set-based detection of land mines with GPR
Author(s): Paul D. Gader; Hichem Frigui; Bruce N. Nelson; Gary Vaillette; James M. Keller
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Paper Abstract

Algorithms for detecting land mines using the GEO-CENTERS Energy Focusing Ground Penetrating Radar (EFGPR) are presented. Key elements of the system include normalization, down- and cross-track feature extraction, fuzzy set membership based confidence assignment, and false alarm testing via transition and number of hyperbolae features. The system has been implemented in real-time in the GEO- CENTERS Vehicle Mounted Mine Detection System and can be used to perform real-time land mine detection or to analyze data stored to disk. Results are presented on calibration lane data from Aberdeen Proving Grounds, Maryland and the Energetic Materials Research and Testing Center, New Mexico in the summer of 1998.

Paper Details

Date Published: 2 August 1999
PDF: 10 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.356988
Show Author Affiliations
Paul D. Gader, Univ. of Missouri/Columbia (United States)
Hichem Frigui, Geo-Centers, Inc. (United States)
Bruce N. Nelson, Geo-Centers, Inc. (United States)
Gary Vaillette, Geo-Centers, Inc. (United States)
James M. Keller, Univ. of Missouri/Columbia (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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