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Proceedings Paper

Applications of hidden Markov models to detecting land mines with ground-penetrating radar
Author(s): Paul D. Gader; Miroslaw Mystkowski
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Paper 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.

Paper Details

Date Published: 2 August 1999
PDF: 9 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.356989
Show Author Affiliations
Paul D. Gader, Univ. of Missouri/Columbia (United States)
Miroslaw Mystkowski, 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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