Paper Info
Title
A super-resolving imaging algorithm of forward-looking SAR based on compressive sensing.
Abstract
As having the imaging ability of area in front of flight direction, forward-looking synthetic aperture radar (SAR) has become a hot topic in areas of SAR research. Nevertheless, the currently exploited imaging algorithms of forward-looking SAR suffer from poor azimuth resolution induced by limited azimuth aperture length. To address this challenge, we develop a super-resolving imaging algorithm for forward-looking SAR based on compressive sensing theory. Firstly, the spatial geometry and signal model of forward-looking SAR is analyzed. After that, the compressive sensing theory is introduced to improve azimuth resolution. Imaging simulations based on Ku-band image data from the MiniSAR system demonstrate the effectiveness of the proposed method.
Year
DOI
Venue
2014
10.1109/IGARSS.2014.6946487
IGARSS
Keywords
DocType
ISSN
compressed sensing,geophysical image processing,remote sensing by radar,synthetic aperture radar,Ku-band image data,MiniSAR system,SAR research areas,area imaging ability,compressive sensing theory,forward-looking SAR,imaging simulations,limited azimuth aperture length,poor azimuth resolution,super-resolving imaging algorithm,synthetic aperture radar,SAR,compressive sensing,forward-looking,imaging
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Bo Pang100.68
Dahai Dai295.29
Jin Liu300.68
Shi-qi Xing454.84
Yongzhen Li511224.15