Adaptive hidden Markov models for extended landmine detection

Miroslaw Mystkowski; Paul D. Gader

doi:10.1117/12.445500

18 October 2001 Adaptive hidden Markov models for extended landmine detection

Miroslaw Mystkowski, Paul D. Gader

Proceedings Volume 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI; (2001) https://doi.org/10.1117/12.445500
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Miroslaw Mystkowski and Paul D. Gader "Adaptive hidden Markov models for extended landmine detection", Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); https://doi.org/10.1117/12.445500

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