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Proceedings Paper

Interferometric synthetic aperture radar detection and estimation based 3D image reconstruction
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Paper Abstract

This paper explores three-dimensional (3D) interferometric synthetic aperture radar (IFSAR) image reconstruction when multiple scattering centers and noise are present in a radar resolution cell. We introduce an IFSAR scattering model that accounts for both multiple scattering centers and noise. The problem of 3D image reconstruction is then posed as a multiple hypothesis detection and estimation problem; resolution cells containing a single scattering center are detected and the 3D location of these cells' pixels are estimated; all other pixels are rejected from the image. Detection and estimation statistics are derived using the multiple scattering center IFSAR model. A 3D image reconstruction algorithm using these statistics is then presented, and its performance is evaluated for a 3D reconstruction of a backhoe from noisy IFSAR data.

Paper Details

Date Published: 17 May 2006
PDF: 12 pages
Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 623707 (17 May 2006); doi: 10.1117/12.666345
Show Author Affiliations
Christian D. Austin, The Ohio State Univ. (United States)
Randolph L. Moses, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 6237:
Algorithms for Synthetic Aperture Radar Imagery XIII
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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