DocumentCode
1887559
Title
SAR imaging based on Compressed Sensing
Author
Huan, Yifeng ; Wang, Junfeng ; Tan, Zhen ; Liu, Xingzhao ; Yu, Wenxian
Author_Institution
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2011
fDate
24-29 July 2011
Firstpage
1674
Lastpage
1677
Abstract
In this paper, we propose a CS-based SAR imaging algorithm after analyzing the model of echoes from point target. Our reconstruction algorithm is two-dimensional, unlike current one-dimensional CS-based SAR imaging algorithms. It can reconstruct targets with high resolution from relatively small number of echoes and effectively improves the efficiency of reconstruction. The processing results of simulated data demonstrate the effectiveness of our algorithm.
Keywords
geophysical image processing; image reconstruction; radar imaging; remote sensing by radar; synthetic aperture radar; 2D reconstruction algorithm; compressed sensing based SAR imaging algorithm; point target echo model; reconstruction efficiency; Compressed sensing; Dictionaries; Image reconstruction; Matching pursuit algorithms; Radar imaging; Radar polarimetry; Reconstruction algorithms; Compressive Sensing; Matching Pursuit; Radar Imaging; Sparse Reconstruction; Synthetic Aperture Radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location
Vancouver, BC
ISSN
2153-6996
Print_ISBN
978-1-4577-1003-2
Type
conf
DOI
10.1109/IGARSS.2011.6049555
Filename
6049555
Link To Document