Autofocus and feature extraction in curvilinear SAR via a relaxation-basedalgorithm

Authors
Citation
J. Li et al., Autofocus and feature extraction in curvilinear SAR via a relaxation-basedalgorithm, IEE P-RAD S, 146(4), 1999, pp. 201-207
Citations number
10
Categorie Soggetti
Information Tecnology & Communication Systems
Journal title
IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION
ISSN journal
13502395 → ACNP
Volume
146
Issue
4
Year of publication
1999
Pages
201 - 207
Database
ISI
SICI code
1350-2395(199908)146:4<201:AAFEIC>2.0.ZU;2-0
Abstract
The 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. A self-contained detailed derivation of the data model for the autofocus prob lem in CLSAR is presented. Experimental and simulation results show that AU TORELAX can be used to significantly improve the estimation accuracy of the target parameters.