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Proceedings Paper

Detection of unexploded ordnance using physical optics simulated images as templates
Author(s): Thyagaraju Damarla; Anders J. Sullivan; Karl A. Kappra; Jeffrey Sichina; David C. Wong
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Paper Abstract

We present results of an unexploded ordnance (UXO) detection algorithm based on template matching in ultra-wideband (130 MHz to 1.2 GHz) synthetic aperture radar (SAR) data. We compute scattered fields of UXOs in different orientations, both on the surface and buried at different depths, using a physical optics (PO) approximation for perfectly conducting targets in a half space via the half-space Green's function. The PO code that we developed computes the scattered fields in a lossy and dispersive material. This permits simulation of targets in real soil. The frequency-domain scattered fields are transformed into time-domain. SAR images of the UXOs at different aspect angles are generated by a standard backprojection technique, with the same resolution as the ground-penetrating ultra-wideband SAR. These SAR images form the templates for detection of the UXOs.

Paper Details

Date Published: 19 July 2000
PDF: 10 pages
Proc. SPIE 4033, Radar Sensor Technology V, (19 July 2000); doi: 10.1117/12.391856
Show Author Affiliations
Thyagaraju Damarla, Army Research Lab. (United States)
Anders J. Sullivan, Army Research Lab. (United States)
Karl A. Kappra, Army Research Lab. (United States)
Jeffrey Sichina, Army Research Lab. (United States)
David C. Wong, Lockheed Martin (United States)


Published in SPIE Proceedings Vol. 4033:
Radar Sensor Technology V
Robert Trebits; James L. Kurtz, Editor(s)

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