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Proceedings Paper

Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them
Author(s): Sha Zhu; Ali Mohammad-Djafari; Xiang Li; Junjie Mao
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Paper 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.

Paper Details

Date Published: 7 February 2011
PDF: 14 pages
Proc. SPIE 7873, Computational Imaging IX, 787306 (7 February 2011); doi: 10.1117/12.876541
Show Author Affiliations
Sha Zhu, Lab. des Signaux et Systèmes, CNRS, Univ. Paris-Sud XI (France)
National Univ. of Defense Technology (China)
Ali Mohammad-Djafari, Lab. des Signaux et Systèmes, CNRS, Univ. Paris-Sud XI (France)
Xiang Li, National Univ. of Defense Technology (China)
Junjie Mao, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 7873:
Computational Imaging IX
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

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