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Proceedings Paper

Autofocus and feature extraction in curvilinear SAR via a relaxation-based algorithm
Author(s): Jian Li; Zhaoqiang Bi; Zheng-She Liu
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Paper Abstract

This paper presents a relaxation-based autofocus (AUTORELAX) algorithm that can be used to compensate for the aperture errors in curvilinear synthetic aperture radar (CLSAR) and to extract three-dimensional target features. The data model for the autofocus problem in CLSAR is presented. Experimental and simulation results show that AUTORELAX can be used to significantly improve the estimation accuracy of the target parameters.

Paper Details

Date Published: 17 July 1998
PDF: 12 pages
Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); doi: 10.1117/12.327115
Show Author Affiliations
Jian Li, Univ. of Florida (United States)
Zhaoqiang Bi, Univ. of Florida (United States)
Zheng-She Liu, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 3374:
Signal Processing, Sensor Fusion, and Target Recognition VII
Ivan Kadar, Editor(s)

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