Cart (Loading....) | Create Account
Close category search window
 

Classification of mine-like objects using seismo-acoustic data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

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

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.