DocumentCode
2192712
Title
Performance analysis of SAR super-resolution imaging based on CS theory
Author
Duan, Ya´nan ; Yu, Ze ; Wei, Haiying
Author_Institution
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
fYear
2012
fDate
22-27 July 2012
Firstpage
3979
Lastpage
3982
Abstract
Compressed sensing (CS) theory can be applied to SAR imaging to achieve super-resolution images. To elaborate SAR imaging performance based on CS theory, this paper analyzes the characteristics of signal and discusses resolution from macroscopic and microcosmic aspects. And the factors which affect SAR super-resolution performance are discussed. On this basis, two important conclusions on the reconstruction performance are deduced, and they are verified through simulation and experiments.
Keywords
image reconstruction; image resolution; radar imaging; synthetic aperture radar; CS theory; SAR super-resolution imaging; compressed sensing theory; macroscopic aspects; microcosmic aspects; Azimuth; Coherence; Dictionaries; Image reconstruction; Image resolution; Signal resolution; Synthetic aperture radar; CS; SAR; macroscopic resolution; microcosmic resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350538
Filename
6350538
Link To Document