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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350538
