NDLI: SAR imaging from compressed measurements based on L1/2 regularization

Content Provider	IEEE Xplore Digital Library
Author	Jinshan Zeng Zongben Xu Hai Jiang Bingchen Zhang Wen Hong Yirong Wu
Copyright Year	2011
Description	Author affiliation: Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi'an, 710049, China (Jinshan Zeng; Zongben Xu) \|\| National Key Laboratory of Science and Technology on Microwave Imaging, Beijing, 100190, China (Hai Jiang; Bingchen Zhang; Wen Hong; Yirong Wu)
Abstract	In this paper, a novel synthetic aperture radar (SAR) imaging method based on L1/2 regularization is proposed. Our method implements SAR imaging from compressed measurements with high resolution, enhanced features, reduced sidelobes and suppressed artifacts. Real SAR data experiments are implemented to demonstrate the outperformance of our method. The experiment results demonstrate that our method needs far below the traditional Nyquist rate to guarantee successful imaging. Compared to the prevalent L1 regularization-based methods, there is a significant reduction of the sampling rate for SAR imaging. The sampling rate used by our method is about half of the L1 regularization-based methods in the real SAR data experiments.
Starting Page	625
Ending Page	628
File Size	415986
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049206
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radar polarimetry Radar imaging Image reconstruction Image resolution Imaging Synthetic aperture radar Compressed sensing L1/2 regularization
Content Type	Text
Resource Type	Article

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