Applications of hidden Markov models to detecting land mines with ground-penetrating radar

Paul D. Gader; Miroslaw Mystkowski

doi:10.1117/12.356989

2 August 1999 Applications of hidden Markov models to detecting land mines with ground-penetrating radar

Paul D. Gader, Miroslaw Mystkowski

Proceedings Volume 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV; (1999) https://doi.org/10.1117/12.356989
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

Algorithms for detecting land mines using the GEO-CENTERS, Vehicle-Based Energy Focusing Ground Penetrating Radar (EFGPR) are presented. The algorithms rely on the use of hidden Markov models to model the time-varying signatures produces by the interaction of the EFGPR and the landmines as the vehicle moves. Results are presented on isolated land mine signatures isolated from calibration lane data from Fort A.P. Hill in the summer of 1998.

Citation Download Citation

Paul D. Gader and Miroslaw Mystkowski "Applications of hidden Markov models to detecting land mines with ground-penetrating radar", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); https://doi.org/10.1117/12.356989

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