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Proceedings Paper

Multistage entropy minimization for SAR image autofocus
Author(s): Brian D. Rigling
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Paper Abstract

This paper discusses a multistage approach to entropy minimization for SAR image autofocus. The new algorithm is compared to existing approaches, including point based autofocus, sub-aperture based autofocus, and hybrid methods. Monte Carlo statistical results are presented for simulated clutter scenes and point target scenes. The new minimum entropy autofocus provides improved speed and accuracy in correcting azimuth phase errors in both scenarios.

Paper Details

Date Published: 17 May 2006
PDF: 10 pages
Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 62370J (17 May 2006); doi: 10.1117/12.669957
Show Author Affiliations
Brian D. Rigling, Wright 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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