New results in fuzzy-set-based detection of land mines with GPR

Paul D. Gader; Hichem Frigui; Bruce N. Nelson; Gary Vaillette; James M. Keller

doi:10.1117/12.356988

2 August 1999 New results in fuzzy-set-based detection of land mines with GPR

Paul D. Gader, Hichem Frigui, Bruce N. Nelson, Gary Vaillette, James M. Keller

Proceedings Volume 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV; (1999) https://doi.org/10.1117/12.356988
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Paul D. Gader, Hichem Frigui, Bruce N. Nelson, Gary Vaillette, and James M. Keller "New results in fuzzy-set-based detection of land mines with GPR", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); https://doi.org/10.1117/12.356988

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