Share Email Print

Proceedings Paper

Improving spectral features from GPR by exploring the depth information
Author(s): K. C. Ho; P. D. Gader; J. N. Wilson
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Spectral features generated from GPR measurements have proven to be effective for the discrimination between landmine and clutter objects. Spectral features are extracted from the energy density spectrum estimated from the GPR data at an alarm location. The quality of the energy density spectrum is highly affected by the ground reflection. For deeply buried plastic landmines, the residual ground response can degrade the energy density spectrum significantly. This paper proposes the use of an estimated depth of the target to improve the estimation of its energy density spectrum, for the purpose of increasing the performance in the detection of deeply buried landmines as well as the discrimination between landmines and clutter objects.

Paper Details

Date Published: 18 May 2006
PDF: 8 pages
Proc. SPIE 6217, Detection and Remediation Technologies for Mines and Minelike Targets XI, 62172O (18 May 2006); doi: 10.1117/12.666327
Show Author Affiliations
K. C. Ho, Univ. of Missouri/Columbia (United States)
P. D. Gader, Univ. of Florida (United States)
J. N. Wilson, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 6217:
Detection and Remediation Technologies for Mines and Minelike Targets XI
J. Thomas Broach; Russell S. Harmon; John H. Holloway, Editor(s)

© SPIE. Terms of Use
Back to Top