DocumentCode :
1396295
Title :
Autofocusing of SAR images using STFRFT-based preprocessing
Author :
Bai, Xiaoqing ; Tao, R. ; Liu, Li-Juan ; Zhao, Junhua
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Volume :
48
Issue :
25
fYear :
2012
Firstpage :
1622
Lastpage :
1624
Abstract :
Prominent point processing (PPP) is a very popular synthetic aperture radar (SAR) autofocus algorithm, which can estimate errors caused by any type of unknown motion or other error source and has high accuracy under the assumption that a prominent point scatterer is available within an imaged scene. Proposed is an advanced PPP algorithm with a preprocessing technique based on the short-time fractional Fourier transform (STFRFT) to relax the limitation on the scene content. The performance of the proposed autofocus algorithm is validated using real radar data.
Keywords :
Fourier transforms; radar imaging; synthetic aperture radar; SAR images; STFRFT-based preprocessing; advanced PPP algorithm; error source; prominent point processing; prominent point scatterer; real radar data; scene content; short-time fractional Fourier transform; synthetic aperture radar autofocus algorithm;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2012.3169
Filename :
6407255
Link To Document :
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