Share Email Print
cover

Proceedings Paper

Syntactic landmine detection and classification
Author(s): Kenneth J. Hintz; Nathalia Peixoto; David Hwang
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

A high range resolution ground penetrating radar signal is processed to convert the A-scan data into a binary valued string in which a one represents the location of an impedance change and a zero otherwise. For non-metallic landmines it has been shown that this pattern is unique and can be used to discriminate among landmines and clutter. The discrimination method is based on regular languages which consist of the binarized sequences produced by various landmines. Methods have been developed to automatically create language recognizers which not only recognize a landmine's characteristic string, but also variations of those strings.

Paper Details

Date Published: 4 May 2009
PDF: 9 pages
Proc. SPIE 7303, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV, 730322 (4 May 2009); doi: 10.1117/12.818995
Show Author Affiliations
Kenneth J. Hintz, George Mason Univ. (United States)
Nathalia Peixoto, George Mason Univ. (United States)
David Hwang, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 7303:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV
Russell S. Harmon; J. Thomas Broach; John H. Holloway, Editor(s)

© SPIE. Terms of Use
Back to Top