Sparse imaging based on SAR complex image domain

Author

Wentao Lv ; Junfeng Wang ; Lizhong Qiu ; Wenxian Yu

Author_Institution

Inst. for Sensing & Navig., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2013

fDate

21-26 July 2013

Firstpage

945

Lastpage

948

Abstract

In this paper, a novel synthetic aperture radar (SAR) imaging algorithm based on two-dimensional (2-D) compressed sensing (CS) is presented. First, a complex image is generated by applying a traditional imaging method to raw echoes. Then, the basis pursuit (BP) method is applied to a CS framework to obtain the scattering coefficients of target points from the complex image. Since CS is applied jointly in range and azimuth, this algorithm utilizes the sparsity of the target scene fully. Experimental results using the real field data demonstrate the effectiveness of our algorithm.

Keywords

compressed sensing; electromagnetic wave scattering; iterative methods; natural scenes; radar cross-sections; radar imaging; synthetic aperture radar; 2D compressed sensing; BP method; CS method; SAR complex image domain; SAR imaging algorithm; basis pursuit method; complex image generation; raw echo; scattering coefficients; sparse imaging; synthetic aperture radar; target points; target scene sparsity; Azimuth; Image reconstruction; Imaging; Matching pursuit algorithms; Radar imaging; Radar polarimetry; Synthetic aperture radar; basis pursuit; complex image; compressed sensing; measurement matrix; synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6721317

Filename

6721317