An augmented lagrangian method for sparse SAR imaging

Güven, H. Emre and Çetin, Müjdat (2014) An augmented lagrangian method for sparse SAR imaging. In: 10th European Conference on Synthetic Aperture Radar (EUSAR 2014), Berlin, Germany

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In this paper, we present a solution to the constrained l1-norm minimization problem for sparse SAR imaging. The technique we present relies on recent advances in the solution of optimization problems, based on Augmented Lagrangian Methods (ALMs), namely the Alternating Direction Method of Multipliers. Here, we present an application of C-SALSA (an ALM for constrained optimization problems) to SAR imaging, and introduce a new weighting scheme to improve the sparsity of the reconstructions. We then compare the performances of several techniques to understand the effectiveness of ALMs in the context of SAR imaging.
Item Type: Papers in Conference Proceedings
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 14:55
Last Modified: 26 Apr 2022 09:17

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