title   
  

A sparsity-driven approach for joint SAR imaging and phase error correction

Önhon, Özben Naime and Çetin, Müjdat (2011) A sparsity-driven approach for joint SAR imaging and phase error correction. (Accepted/In Press)

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Abstract

Image formation algorithms in a variety of applications have explicit or implicit dependence on a mathematical model of the observation process. Inaccuracies in the observation model may cause various degradations and artifacts in the reconstructed images. The application of interest in this paper is synthetic aperture radar (SAR) imaging, which particularly suffers from motion-induced model errors. These types of errors result in phase errors in SAR data which cause defocusing of the reconstructed images. Particularly focusing on imaging of fields that admit a sparse representation, we propose a sparsity-driven method for joint SAR imaging and phase error correction. Phase error correction is performed during the image formation process. The problem is set up as an optimization problem in a nonquadratic regularization-based framework. The method involves an iterative algorithm each iteration of which consists of consecutive steps of image formation and model error correction. Experimental results show the effectiveness of the approach for various types of phase errors, as well as the improvements it provides over existing techniques for model error compensation in SAR.

Item Type:Article
Uncontrolled Keywords:Synthetic aperture radar, phase errors, autofocus, regularization, sparsity
Subjects:UNSPECIFIED
ID Code:16661
Deposited By:Müjdat Çetin
Deposited On:09 Aug 2011 15:48
Last Modified:07 May 2012 15:44

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