Autofocus and feature extraction in curvilinear SAR via a relaxation-based algorithm

Jian Li; Zhaoqiang Bi; Zheng-She Liu

doi:10.1117/12.327115

17 July 1998 Autofocus and feature extraction in curvilinear SAR via a relaxation-based algorithm

Jian Li, Zhaoqiang Bi, Zheng-She Liu

Proceedings Volume 3374, Signal Processing, Sensor Fusion, and Target Recognition VII; (1998) https://doi.org/10.1117/12.327115
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Jian Li, Zhaoqiang Bi, and Zheng-She Liu "Autofocus and feature extraction in curvilinear SAR via a relaxation-based algorithm", Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); https://doi.org/10.1117/12.327115

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