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Classification of mine-like objects using seismo-acoustic data

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2 Author(s)
Zambartas, M. ; Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA, USA ; Fargues, M.P.

This study considers the application of a simple discrete HMM-based classifier to differentiate between two types of mine-like objects buried in shallow sand using seismo-acoustic data. Rayleigh interface waves are used to determine the target locations. Results obtained on a limited trial basis indicate that the set-up can be used to classify the objects.

Published in:

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on  (Volume:2 )

Date of Conference:

24-27 Oct. 1999