Sparsity-driven synthetic aperture radar imaging [Reconstruction, autofocusing, moving targets, and compressed sensing]
Çetin, Müjdat and Stojanovic, Ivana and Önhon, Özben Naime and Varshney, Kush R. and Samadi, Sadegh and Karl, W. Clem and Willsky, Alan S. (2014) Sparsity-driven synthetic aperture radar imaging [Reconstruction, autofocusing, moving targets, and compressed sensing]. IEEE Signal Processing Magazine, 31 (4). pp. 27-40. ISSN 1053-5888 (Print) 1558-0792 (Online)
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Official URL: http://dx.doi.org/10.1109/MSP.2014.2312834
This article presents a survey of recent research on sparsity-driven synthetic aperture radar (SAR) imaging. In particular, it reviews 1) the analysis and synthesis- based sparse signal representation formulations for SAR image formation together with the associated imaging results, 2) sparsity-based methods for wide-angle SAR imaging and anisotropy characterization, 3) sparsity-based methods for joint imaging and autofocusing from data with phase errors, 4) techniques for exploiting sparsity for SAR imaging of scenes containing moving objects, and 5) recent work on compressed sensing (CS)-based analysis and design of SAR sensing missions.
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