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

被引:0
|
作者
Li, J [1 ]
Bi, ZQ [1 ]
Liu, ZS [1 ]
机构
[1] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
来源
SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION VII | 1998年 / 3374卷
关键词
curvilinear SAR; feature extraction; autofocus; relaxation-based methods;
D O I
10.1117/12.327115
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
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.
引用
收藏
页码:390 / 401
页数:12
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