SAR moving object imaging using sparsity imposing priors

Önhon, Özben Naime and Çetin, Müjdat (2017) SAR moving object imaging using sparsity imposing priors. EURASIP Journal on Advances in Signal Processing . ISSN 1687-6172 (Print) 1687-6180 (Online)

This is the latest version of this item.

[thumbnail of Listed in DOAJ as an open access journal] PDF (Listed in DOAJ as an open access journal)
onhon_JASP17_from_journal.pdf

Download (3MB)

Abstract

Synthetic aperture radar (SAR) returns from a scene with motion can be viewed as data from a stationary scene, but with phase errors due to motion. Based on this perspective, we formulate the problem of SAR imaging of motion-containing scenes as one of joint imaging and phase error compensation. The proposed method is based on the minimization of a cost function which involves sparsity-imposing regularization terms on the reflectivity field to be imaged, considering that it admits a sparse representation as well as on the spatial structure of the motion-related phase errors, reflecting the assumption that only a small percentage of the entire scene contains moving objects. To incorporate the spatial structure of the phase errors into the problem, we provide three different sparsity-enforcing prior terms. In order to achieve computational gains, we also present a two-step version of our approach, which first determines regions of interest that are likely to contain the moving objects and then applies our sparsity-driven approach for joint image reconstruction and autofocusing in such a spatially constrained setting. Our preliminary experiments demonstrate the effectiveness of this new moving target SAR imaging approach.
Item Type: Article
Uncontrolled Keywords: SAR; Moving object; Sparsity; Group sparsity; Low-rank sparse decomposition
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: 09 Sep 2017 21:43
Last Modified: 26 Apr 2022 09:51
URI: https://research.sabanciuniv.edu/id/eprint/33796

Available Versions of this Item

Actions (login required)

View Item
View Item