1 July 2003 Toward target recognition from synthetic aperture radar imagery using electromagnetics-based signatures
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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.
© (2003) Society of Photo-Optical Instrumentation Engineers (SPIE)
Chen-Pang Yeang, Choongyeun Cho, Jeffrey H. Shapiro, "Toward target recognition from synthetic aperture radar imagery using electromagnetics-based signatures," Optical Engineering 42(7), (1 July 2003). https://doi.org/10.1117/1.1579031 . Submission:
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