Title :
2D Imaging algorithm of spaceborne SAR based on compressive sensing
Author :
Zhang, Jian ; Zhu, Lidong ; Guo, Yantao ; Gou, Xiaogang
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Commun., UESTC, Chengdu, China
Abstract :
To reduce the data transmission load of spaceborne SAR, this paper proposes a 2D imaging scheme based on compressive sensing (CS). First the sparse characteristics of spaceborne SAR echoes are analyzed, and then the echoes´ sparse model and the targets´ restore matrix are established. The minimum l1 norm algorithm is used to reconstruct the compressed data in distance and azimuth dimensions, and at last the low-load, high-resolution image is got. The simulation results prove the validity of the algorithm.
Keywords :
data compression; image resolution; radar imaging; synthetic aperture radar; 2D imaging algorithm; azimuth dimensions; compressed data; compressive sensing; high-resolution image; spaceborne SAR; Azimuth; Imaging; Radar imaging; Scattering; Signal processing algorithms; Spaceborne radar; 2D-Radar imaging; Compressive Sensing (CS); SAR;
Conference_Titel :
Millimeter Waves (GSMM), 2012 5th Global Symposium on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-1302-5
DOI :
10.1109/GSMM.2012.6314410