Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them

Sha Zhu; Ali Mohammad-Djafari; Xiang Li; Junjie Mao

doi:10.1117/12.876541

7 February 2011 Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them

Sha Zhu, Ali Mohammad-Djafari, Xiang Li, Junjie Mao

Author Affiliations +

Proceedings Volume 7873, Computational Imaging IX; 787306 (2011) https://doi.org/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.

Citation Download Citation

Sha Zhu, Ali Mohammad-Djafari, Xiang Li, and 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 (7 February 2011); https://doi.org/10.1117/12.876541

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available