A super-resolving imaging algorithm of forward-looking SAR based on compressive sensing

Author

Pang Bo ; Dai Da-hai ; Liu Jin ; Xing Shi-qi ; Li Yong-zhen

Author_Institution

State Key Lab. of Complex Electromagn. Environ. Effects on Electron. & Inf. Syst., Nat. Univ. of Defense Technol., Changsha, China

fYear

2014

fDate

13-18 July 2014

Firstpage

572

Lastpage

575

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.

Keywords

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; Azimuth; Image resolution; Imaging; Radar imaging; Signal resolution; Synthetic aperture radar; SAR; compressive sensing; forward-looking; imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6946487

Filename

6946487