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

Statistical signal processing techniques for the detection of low-metal landmines using EMI and GPR sensors (Topic area: E.1)

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

7 Author(s)
Ping Gao ; Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA ; Tantum, S. ; Collins, L. ; Weaver, D.
more authors

The Joint UXO Coordination Office (JUXOCO) at Ft. Belvoir, VA is sponsoring a series of experiments designed to establish a performance baseline for a variety of sensors. The purpose of these experiments is to determine if advanced algorithms are useful for detecting low-metallic content mines and if ground penetrating radar (GPR) sensors can help mitigate the high false alarm rates associated with electromagnetic induction (EMI) sensors. In this paper, the authors describe the results of two data collection and algorithm development efforts. One involves a prototype frequency-domain EMI system; the other involves a prototype wide-band GPR system. In both cases, substantial performance improvements over baseline are achieved using statistically-based signal processing algorithms

Published in:

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International  (Volume:5 )

Date of Conference:

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.