Toward Target Recognition from Synthetic Aperture Radar Imagery Using Electromagnetics-based Signatures
Chen-Peng Yeang, Choongyeun Cho, and Jeffrey Shapiro
International Society for Optical Engineering (SPIE) Optical Engineering, Volume 42, Issue 7, July 2003, Page(s):2129 - 2149
DOI: 10.1117/1.1579031
Abstract
We develop a theory of target detection and classification from physics-based synthetic aperture radar (SAR) signatures. The target-return and clutter-return models are developed from electromagnetic theory. Both stripmap-mode and spotlight-mode SARs are treated. Adaptive-resolution processors, conventional SAR processors, and optimum likelihood-ratio target detectors are presented for multicomponent target detection, and their receiver operating characteristics are compared. Similarly, conventional and optimum likelihood-ratio processors are used for multicomponent target classification. We develop upper and lower bounds and present Monte Carlo simulations for the probabilities of correct classification.Download
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