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Proceedings Paper

Limited persistence models for SAR automatic target recognition
Author(s): Nithin Sugavanam; Emre Ertin
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Paper Abstract

We consider the task of estimating the scattering coefficients and locations of the scattering centers that exhibit limited azimuthal persistence for a wide-angle synthetic aperture radar (SAR) sensor operating in spotlight mode. We exploit the sparsity of the scattering centers in the spatial domain as well as the slow-varying structure of the scattering coefficients in the azimuth domain to solve the ill-posed linear inverse problem. Furthermore, we utilize this recovered model as a template for the task of target recognition and pose estimation. We also investigate the effects of missing pulses in the initial recovery step of the model on the performance of the proposed method for target recognition. We empirically establish that the recovered model can be used to estimate the target class and pose simultaneously for the case of missing measurements.

Paper Details

Date Published: 28 April 2017
PDF: 12 pages
Proc. SPIE 10201, Algorithms for Synthetic Aperture Radar Imagery XXIV, 102010M (28 April 2017); doi: 10.1117/12.2264744
Show Author Affiliations
Nithin Sugavanam, The Ohio State Univ. (United States)
Emre Ertin, The Ohio State Univ. (United States)

Published in SPIE Proceedings Vol. 10201:
Algorithms for Synthetic Aperture Radar Imagery XXIV
Edmund Zelnio; Frederick D. Garber, Editor(s)

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