Paper
10 June 2005 Effects of target phenomenology on SAR prescreener performance
Author Affiliations +
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.
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Kenneth Ranney, Andy Sullivan, Lam Nguyen, Bill Radzelovage, and Andrew Piper "Effects of target phenomenology on SAR prescreener performance", Proc. SPIE 5794, Detection and Remediation Technologies for Mines and Minelike Targets X, (10 June 2005); https://doi.org/10.1117/12.605924
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KEYWORDS
Synthetic aperture radar

Detection and tracking algorithms

Data modeling

Mining

Land mines

Target detection

X band

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