15 September 1998 Method using multiple models to superresolve SAR imagery
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Abstract
This paper introduces a methodology for the superresolution of synthetic aperture radar (SAR) images using multiple target and clutter models. The system has two major components: a mechanism that selects the appropriate model for superresolution and a bank of model estimators to accomplish the superresolution. The typical point scatterer model is incorporated into this technique as well as a model for clutter. Other models can be naturally incorporated. This methodology is flexible in that it can utilize many of the well-known modern spectral estimation techniques. The ability to more accurately model targets using models other than the point scatterer as well as the importance of including models for clutter into a superresolution paradigm is addressed. These issues are shown to be relevant to the automatic target recognition/detection problem. We present a comparison of our technique with other SAR imaging methods and discuss the relative benefits afforded by such an approach.
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Frank M. Candocia, Frank M. Candocia, Jose C. Principe, Jose C. Principe, } "Method using multiple models to superresolve SAR imagery", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); doi: 10.1117/12.321824; https://doi.org/10.1117/12.321824
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