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
fDate :
8/1/1999 12:00:00 AM
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;
Journal_Title :
Radar, Sonar and Navigation, IEE Proceedings -
DOI :
10.1049/ip-rsn:19990478
