Title :
Classification of mine-like objects using seismo-acoustic data
Author :
Zambartas, Michael ; Fargues, Monique P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA, USA
Abstract :
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.
Keywords :
Rayleigh waves; buried object detection; hidden Markov models; sand; seismometers; signal classification; sonar signal processing; Rayleigh interface waves; buried mine-like objects; discrete HMM-based classifier; discrete hidden-Markov model; experimental set-up; geophones; mine detection; mine-like objects classification; seismo-acoustic data; seismo-acoustic sonar; shallow sand; target locations; Actuators; Buried object detection; Hazards; Hidden Markov models; Moisture; Polarization; Signal processing; Sonar detection; Surface waves; Underwater acoustics;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.831828
