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Proceedings Paper

A subaperture based approach for SAR moving target imaging by low-rank and sparse decomposition
Author(s): Mubashar Yasin; Ahmed Shaharyar Khwaja; Müjdat Çetin
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Paper Abstract

In this paper, we propose a synthetic aperture radar (SAR) moving-target imaging approach that exploits the low-rank and sparse decomposition (LRSD) of subaperture data. The low-rank component consists of the static background whereas the sparse component captures the moving targets. This allows the reconstruction of a full resolution moving target image separate from the static background image after LRSD. Furthermore, it facilitates the applicability of sparsity-driven moving target imaging in low signal to clutter ratio (SCR) scenarios. We demonstrate the effectiveness of our approach with experiments on synthetic as well as real SAR data.

Paper Details

Date Published: 27 April 2018
PDF: 10 pages
Proc. SPIE 10647, Algorithms for Synthetic Aperture Radar Imagery XXV, 106470K (27 April 2018); doi: 10.1117/12.2304982
Show Author Affiliations
Mubashar Yasin, Sabanci Univ. (Turkey)
Ahmed Shaharyar Khwaja, Sabanci Univ. (Turkey)
Müjdat Çetin, Sabanci Univ. (Turkey)
Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 10647:
Algorithms for Synthetic Aperture Radar Imagery XXV
Edmund Zelnio; Frederick D. Garber, Editor(s)

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