DocumentCode :
3024260
Title :
A fast method for compressive sensing SAR imaging via nonlinear chirp scaling
Author :
Xiao Peng ; Yu Ze ; Li Chunsheng
Author_Institution :
Sch. of Electron. & Inf. Eng., BeiHang Univ., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
632
Lastpage :
635
Abstract :
A novel SAR imaging approach has been exposed in this paper. It is based on CS theory which aims at getting low sidelobes image with Shannon-Nyquist samplings. Deviated from classical CS-imaging methods in large squint mode, this new method does RCMC on the echo first through nonlinear chirp scaling, and then carries out CS compression in both range and azimuth. This approach depresses the mistakes of RCMC brought by CS algorithm, and relieves the calculating pressures.
Keywords :
compressed sensing; data compression; image coding; image sampling; image sensors; radar imaging; synthetic aperture radar; CS-imaging method; RCMC; Shannon-Nyquist sampling; compressive sensing SAR imaging; nonlinear chirp scaling; squint mode; Azimuth; Chirp; Compressed sensing; Imaging; Radar imaging; Radar polarimetry; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6721236
Filename :
6721236
Link To Document :
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