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
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Radar imaging, synthetic aperture radar, sparse signal representation, compressed sensing |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Electronics Faculty of Engineering and Natural Sciences |
| Depositing User: | Müjdat Çetin |
| Date Deposited: | 19 Dec 2014 16:01 |
| Last Modified: | 26 Apr 2022 09:18 |
| URI: | https://research.sabanciuniv.edu/id/eprint/25634 |
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Sparsity-driven synthetic aperture radar imaging. (deposited 11 Jan 2014 11:25)
- Sparsity-driven synthetic aperture radar imaging [Reconstruction, autofocusing, moving targets, and compressed sensing]. (deposited 19 Dec 2014 16:01) [Currently Displayed]
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