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Proceedings Paper

Surface models to constrain three-dimensional sparse SAR reconstruction
Author(s): Robert A. Weisenseel; Tony Falcone
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Paper Abstract

Sparse data collection geometries represent a significant challenge to high-resolution three-dimensional SAR imaging. In particular, sparse sampling can lead to significant sidelobe structure in high-resolution reconstructions. To help constrain volumetric SAR reconstructions, we have introduced a surface model. We justify this based on physical phenomenology: higher frequency SAR systems exhibit only limited surface penetration. In our method, we jointly estimate the surface models and reconstructions, significantly reducing sidelobing artifacts in comparison with traditional reconstructions. Our paper and presentation illustrate reconstructions both with and without surface models to demonstrate the potential improvement.

Paper Details

Date Published: 28 April 2009
PDF: 10 pages
Proc. SPIE 7337, Algorithms for Synthetic Aperture Radar Imagery XVI, 733704 (28 April 2009); doi: 10.1117/12.820241
Show Author Affiliations
Robert A. Weisenseel, Scientific Systems Co., Inc. (United States)
Tony Falcone, Scientific Systems Co., Inc. (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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