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