27 April 2018 A subaperture based approach for SAR moving target imaging by low-rank and sparse decomposition
Author Affiliations +
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.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mubashar Yasin, Mubashar Yasin, Ahmed Shaharyar Khwaja, Ahmed Shaharyar Khwaja, Müjdat Çetin, Müjdat Çetin, } "A subaperture based approach for SAR moving target imaging by low-rank and sparse decomposition", Proc. SPIE 10647, Algorithms for Synthetic Aperture Radar Imagery XXV, 106470K (27 April 2018); doi: 10.1117/12.2304982; https://doi.org/10.1117/12.2304982


Echo imaging with beam-steered data
Proceedings of SPIE (May 31 1992)
Squint mode SAR raw data generation for moving ship on...
Proceedings of SPIE (October 26 2011)
SAR moving target imaging in a sparsity-driven framework
Proceedings of SPIE (September 27 2011)
Fast segmentation method for SAR images
Proceedings of SPIE (December 22 2002)

Back to Top