Generalized hidden Markov models for land mine detection

Paul D. Gader; Mihail Popescu

doi:10.1117/12.479106

13 August 2002 Generalized hidden Markov models for land mine detection

Paul D. Gader, Mihail Popescu

Proceedings Volume 4742, Detection and Remediation Technologies for Mines and Minelike Targets VII; (2002) https://doi.org/10.1117/12.479106
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

In this paper we describe a possible solution to the rigid Gaussian mixture problem of a continuous hidden Markov model (CHMM) in the context of landmine detection. The main idea of the solution is replacing the Gaussian representation of the feature distribution by a function that uses knowledge about real data distribution (sigmoidal in our case). The main advantage of this approach is that it is faster than the CHMM while maintaining the same performance, fact that can be critical in real-time systems. We use the CHMM as a benchmark for the performance of the newly developed algorithm.

Citation Download Citation

Paul D. Gader and Mihail Popescu "Generalized hidden Markov models for land mine detection", Proc. SPIE 4742, Detection and Remediation Technologies for Mines and Minelike Targets VII, (13 August 2002); https://doi.org/10.1117/12.479106

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