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A Sparse Signal Representation-based Approach to Image Formation and Anisotropy Determination in Wide-Angle Radar (in Turkish)
Authors: Kush R. Varshney, Müjdat Çetin, John W. Fisher III, and Alan S. Willsky
Published in: SIU2007 - IEEE Conference on Signal Processing and Communications Applications, Eskisehir, Turkey, June 2007
Publication year: 2007
Abstract: We consider the problem of jointly forming images and determining anisotropy from wide-angle synthetic aperture radar (SAR) measurements. Conventional SAR image formation techniques assume isotropic scattering, which is not valid with wide-angle apertures. We present a method based on a sparse representation of aspect-dependent scattering with an overcomplete dictionary composed of elements with varying levels of angular persistence. Solved as an inverse problem, the result is a complex-valued, aspect-dependent response for each spatial location in a scene. Our formulation leads to an optimization problem for which we develop a tractable, graph-structured approximate algorithm. We present experimental results on realistic electromagnetic simulations demonstrating the effectiveness of the proposed approach.
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