On the use of ratio likelihood and GNC for the restoration of SAR images

Author

Cabada, J.C. ; Lopès, A. ; Fjertoft, R.

Author_Institution

CESBIO, CNRS, Toulouse, France

Volume

1

fYear

1998

fDate

6-10 Jul 1998

Firstpage

16

Abstract

Several methods have already been developed in order to solve the problem of restoring blurred images corrupted by gaussian noise. The authors´ goal is to adapt these methods to synthetic aperture radar (SAR) images. This kind of images has particular properties that they describe. Modifications to the methods are then suggested. The choice of the algorithm allowing the computation of the smoothed image is discussed. Some results on simulated and real images are then presented

Keywords

geophysical signal processing; geophysical techniques; image enhancement; image resolution; image restoration; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; GNC; SAR image; algorithm; blurred image; gaussian noise; geophysical measurement technique; image resolution enhancement; image restoration; land surface; radar imaging; radar remote sensing; ratio likelihood; smoothed image; spaceborne radar; synthetic aperture radar; terrain mapping; Computational modeling; Detectors; Gaussian noise; Image restoration; Reflectivity; Shape; Simulated annealing; Speckle; Telephony; Uninterruptible power systems;

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.1998.702783

Filename

702783