DocumentCode
1256320
Title
Autofocus and feature extraction in curvilinear SAR via a relaxation-based algorithm
Author
Li, J. ; Bi, Z. ; Liu, Z.-S.
Author_Institution
Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA
Volume
146
Issue
4
fYear
1999
fDate
8/1/1999 12:00:00 AM
Firstpage
201
Lastpage
207
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 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
Keywords
error analysis; feature extraction; focusing; radar imaging; synthetic aperture radar; 3D target features; AUTORELAX; CLSAR; SAR imaging; aperture errors compensation; curvilinear SAR; curvilinear synthetic aperture radar; data model; estimation accuracy; experimental results; feature extraction; relaxation-based algorithm; relaxation-based autofocus algorithm; simulation results; target parameters;
fLanguage
English
Journal_Title
Radar, Sonar and Navigation, IEE Proceedings -
Publisher
iet
ISSN
1350-2395
Type
jour
DOI
10.1049/ip-rsn:19990478
Filename
799030
Link To Document