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Effects of target phenomenology on SAR prescreener performance
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Paper Abstract

The Army Research Laboratory has recently collaborated with Raytheon to determine the effects of various target signature phenomena on the performance of a detection pre-screening processing chain. These signature phenomena for plastic mines were predicted by ARL's high fidelity electromagnetic models and then observed in airborne X-band synthetic aperture radar (SAR) data. The agreement of the modeled results with experimental data was then used to guide pre-screener design. In this paper we present predicted plastic mine signatures generated by ARL and compare the results with actual target samples extracted from X-Band SAR data. We then briefly describe the new prescreener algorithm and examine modeling results for other frequency bands in an effort to determine if similar notions can be exploited in these bands as well.

Paper Details

Date Published: 10 June 2005
PDF: 12 pages
Proc. SPIE 5794, Detection and Remediation Technologies for Mines and Minelike Targets X, (10 June 2005); doi: 10.1117/12.605924
Show Author Affiliations
Kenneth Ranney, Army Research Lab. (United States)
Andy Sullivan, Army Research Lab. (United States)
Lam Nguyen, Army Research Lab. (United States)
Bill Radzelovage, Raytheon Integrated Defense Systems (United States)
Andrew Piper, Raytheon Integrated Defense Systems (United States)

Published in SPIE Proceedings Vol. 5794:
Detection and Remediation Technologies for Mines and Minelike Targets X
Russell S. Harmon; J. Thomas Broach; John H. Holloway, Editor(s)

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