8 February 2011 Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them
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Proceedings Volume 7873, Computational Imaging IX; 787306 (2011); doi: 10.1117/12.876541
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
Synthetic Aperture Radar (SAR) imaging systems are nowadays very common technics of imaging in remote sensing and environment survey. There are different acquisition modes: spotlight, stripmap, scan; different geometries: mono-, bi- and multi-static; and varieties of specific applications: interferometric SAR (InSAR), polarimetric SAR etc. In this paper, first a common inverse problem framework for all of them is given, and then basics of SAR imaging and the classical deterministic inversion methods are presented. Aiming at overcoming the inadequacies of deterministic methods, a general probabilistic Bayesian estimation method is pioneered for solving image reconstruction problems. In particular, two priors which simply allow the automated determination of the hyperparameters in a Type-II likelihood framework are considered. Finally, the performances of the proposed methods on synthetic data.
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Sha Zhu, Ali Mohammad-Djafari, Xiang Li, Junjie Mao, "Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them", Proc. SPIE 7873, Computational Imaging IX, 787306 (8 February 2011); doi: 10.1117/12.876541; https://doi.org/10.1117/12.876541
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KEYWORDS
Synthetic aperture radar

Imaging systems

Inverse problems

Radar

Data modeling

Fourier transforms

Image resolution

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