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Proceedings Paper

Target detection theory for stripmap SAR using physics-based multiresolution signatures
Author(s): Chen-Pang Yeang; Jeffrey H. Shapiro
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Paper Abstract

A first-principles target detection theory is developed for stripmap operation of a synthetic aperture radar (SAR). The intermediate-frequency signal model consists of the return from a single-component target embedded in the clutter return from a random rough-surface reflector plus white Gaussian receiver noise. Target-return models are developed from electromagnetic theory for the following cases: specular reflector, dihedral reflector, and dielectric volume. Traditional stripmap SAR processing is assumed, using matched filters in both range and cross-range directions, but processing durations for these filters are chosen to optimize Neyman-Pearson detection performance by exploiting the multiresolution signatures of these targets. An optimum, whitening-filter SAR processor is also studied, and its detection performance is compared with that of the preceding multiresolution receiver.

Paper Details

Date Published: 15 September 1998
PDF: 15 pages
Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); doi: 10.1117/12.321867
Show Author Affiliations
Chen-Pang Yeang, Massachusetts Institute of Technology (United States)
Jeffrey H. Shapiro, Massachusetts Institute of Technology (United States)

Published in SPIE Proceedings Vol. 3370:
Algorithms for Synthetic Aperture Radar Imagery V
Edmund G. Zelnio, Editor(s)

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