Target detection theory for stripmap SAR using physics-based multiresolution signatures

Chen-Pang Yeang; Jeffrey H. Shapiro

doi:10.1117/12.321867

15 September 1998 Target detection theory for stripmap SAR using physics-based multiresolution signatures

Chen-Pang Yeang, Jeffrey H. Shapiro

Proceedings Volume 3370, Algorithms for Synthetic Aperture Radar Imagery V; (1998) https://doi.org/10.1117/12.321867
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Chen-Pang Yeang and Jeffrey H. Shapiro "Target detection theory for stripmap SAR using physics-based multiresolution signatures", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); https://doi.org/10.1117/12.321867

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