Share Email Print
cover

Proceedings Paper

Detection of explosive hazards using spectrum features from forward-looking ground penetrating radar imagery
Author(s): Justin Farrell; Timothy C. Havens; K. C. Ho; James M. Keller; Tuan T. Ton; David C. Wong; Mehrdad Soumekh
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

Buried explosives have proven to be a challenging problem for which ground penetrating radar (GPR) has shown to be effective. This paper discusses an explosive hazard detection algorithm for forward looking GPR (FLGPR). The proposed algorithm uses the fast Fourier transform (FFT) to obtain spectral features of anomalies in the FLGPR imagery. Results show that the spectral characteristics of explosive hazards differ from that of background clutter and are useful for rejecting false alarms (FAs). A genetic algorithm (GA) is developed in order to select a subset of spectral features to produce a more generalized classifier. Furthermore, a GA-based K-Nearest Neighbor probability density estimator is employed in which targets and false alarms are used as training data to produce a two-class classifier. The experimental results of this paper use data collected by the US Army and show the effectiveness of spectrum based features in the detection of explosive hazards.

Paper Details

Date Published: 23 May 2011
PDF: 11 pages
Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 80171E (23 May 2011); doi: 10.1117/12.884685
Show Author Affiliations
Justin Farrell, Univ. of Missouri (United States)
Timothy C. Havens, Univ. of Missouri (United States)
K. C. Ho, Univ. of Missouri (United States)
James M. Keller, Univ. of Missouri (United States)
Tuan T. Ton, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
David C. Wong, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Mehrdad Soumekh, Univ. of New York at Buffalo (United States)


Published in SPIE Proceedings Vol. 8017:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI
Russell S. Harmon; John H. Holloway; J. Thomas Broach, Editor(s)

© SPIE. Terms of Use
Back to Top