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Proceedings Paper

Sparse multipass 3D SAR imaging: applications to the GOTCHA data set
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Paper Abstract

Typically in SAR imaging, there is insufficient data to form well-resolved three-dimensional (3D) images using traditional Fourier image reconstruction; furthermore, scattering centers do not persist over wide-angles. In this work, we examine 3D non-coherent wide-angle imaging on the GOTCHA Air Force Research Laboratory (AFRL) data set; this data set consists of multipass complete circular aperture radar data from a scene at AFRL, with each pass varying in elevation as a result of aircraft flight dynamics . We compare two algorithms capable of forming well-resolved 3D images over this data set: regularized lp least-squares inversion, and non-uniform multipass interferometric SAR (IFSAR).

Paper Details

Date Published: 28 April 2009
PDF: 12 pages
Proc. SPIE 7337, Algorithms for Synthetic Aperture Radar Imagery XVI, 733703 (28 April 2009); doi: 10.1117/12.820323
Show Author Affiliations
Christian D. Austin, The Ohio State Univ. (United States)
Emre Ertin, The Ohio State Univ. (United States)
Randolph L. Moses, The Ohio State Univ. (United States)

Published in SPIE Proceedings Vol. 7337:
Algorithms for Synthetic Aperture Radar Imagery XVI
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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