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Proceedings Paper

Adaptive hidden Markov models for extended landmine detection
Author(s): Miroslaw Mystkowski; Paul D. Gader
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Paper Abstract

Previous experiments with Hidden Markov Models showed that they could be used as an algorithm for landmine detection. In this paper we propose a basic adaptive algorithm for discrete Hidden Markov Model for landmine detection. The performance of adaptive HMM is investigated using GPR data from gathered during the Vehicle Mounted Mine Detection Advanced Technology Demonstrations. In both cases the adaptive HMM outperforms the baseline HMM model, trained offline using Baum-Welch algorithm.

Paper Details

Date Published: 18 October 2001
PDF: 7 pages
Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); doi: 10.1117/12.445500
Show Author Affiliations
Miroslaw Mystkowski, Univ. of Missouri/Columbia (United States)
Paul D. Gader, Univ. of Missouri/Columbia (United States)

Published in SPIE Proceedings Vol. 4394:
Detection and Remediation Technologies for Mines and Minelike Targets VI
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Vivian George, Editor(s)

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