An MRF based technique for speckle reduction in SAR images

Author

Elia, C.D. ; Ferraiuolo, G. ; Pascazio, V. ; Schirnzi, G.

Author_Institution

DAEIMI, Universita di Cassino

Volume

6

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

4211

Abstract

SAR images are affected by speckle that affects radiometric resolution and class discrimination capabilities. Recently, different speckle reduction techniques based on maximum a posteriori (MAP) estimation have been proven to have very good performances. These techniques are based on the introduction of an a priori statistical model of the speckle free image to be estimated. We propose a MAP method using more than one sub-band filtered intensity images and a Markov random field (MRF) a priori model. The method has been experimented on simulated and real images

Keywords

Markov processes; geophysical techniques; image enhancement; image resolution; maximum likelihood estimation; radar imaging; radiometry; remote sensing; synthetic aperture radar; MRF technique; Markov random field model; SAR images; a priori statistical model; class discrimination; maximum a posteriori estimation; radiometric resolution; speckle reduction; sub band filtered intensity images; synthetic aperture radar; Filtering; Image resolution; Interference; Markov random fields; Pixel; Radar scattering; Radiometry; Speckle; Synthetic aperture radar; Telecommunications;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370064

Filename

1370064