Autofocussing SAR and SAS images using a conjugate gradient search algorithm

Author

Gough, P.T. ; Lane, R.G.

Author_Institution

Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand

Volume

2

fYear

1998

fDate

6-10 Jul 1998

Firstpage

621

Abstract

We demonstrate a simple conjugate gradient optimizing algorithm that can restore motion-blurred spotlight SAR or SAS images. The key to an effective restoration is an appropriate cost function based on image sharpness criterion combined with the probability of the estimated path trajectory. The image can be optimized efficiently using the derivative of the cost function. Examples of blurred and restored simulated images are shown

Keywords

conjugate gradient methods; image enhancement; image restoration; optimisation; radar imaging; search problems; sonar imaging; synthetic aperture radar; SAR images; SAS images; autofocussing; blurred simulated images; conjugate gradient search algorithm; cost function; estimated path trajectory; image sharpness; motion-blurred spotlight images; optimizing algorithm; restored simulated images; synthetic aperture sonar; Bayesian methods; Convolution; Cost function; Fourier transforms; Image restoration; Radar polarimetry; Synthetic aperture sonar; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.699530

Filename

699530