Space-time analysis and iterative focusing for synthetic aperture sonar

Author

Ochieng-Ogolla, Ezackiel

Author_Institution

Bremen Univ., Germany

Volume

3

fYear

1996

fDate

16-19 Sep 1996

Firstpage

931

Abstract

In this paper, we describe a space-time analysis for synthetic aperture sonar (SAS) employing Green´s functions, and show that it´s basically an inverse problem. Iterative focusing is proposed based on this viewpoint. In order to mitigate difficulties of slow convergence and computational costs inherent in iterative methods, an acceleration technique is used. Applications to SAS imaging is demonstrated through reconstructions from simulated data, with emphasis on high resolution and image quality

Keywords

Green´s function methods; acoustic signal processing; convergence of numerical methods; filtering theory; focusing; image reconstruction; image resolution; inverse problems; iterative methods; sonar imaging; Green´s functions; SAS imaging; acceleration technique; computational costs; high resolution imaging; image quality; image reconstruction; inverse problem; iterative focusing; slow convergence; space-time analysis; synthetic aperture sonar; Acceleration; Computational efficiency; Convergence; Focusing; Green´s function methods; High-resolution imaging; Image reconstruction; Inverse problems; Iterative methods; Synthetic aperture sonar;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560948

Filename

560948