The Adaptive Stochastic Matched Filter for SAS Images denoising

Author

Courmontagne, Philippe ; Chaillan, Fabien

Author_Institution

Inst. Superieur d´´Electron. du Nord, Toulon

fYear

2006

fDate

18-21 Sept. 2006

Firstpage

1

Lastpage

6

Abstract

SAS images are highly corrupted by a granular multiplicative noise, called the speckle which reduces spatial and radiometric resolutions. The purpose of this article is to present a new adaptive processing that allows speckle noise reduction in SAS images, while keeping the spatial resolution. This processing is based on the two-dimensional stochastic matched filtering method with a signal autocorrelation function adaptation and a sub-image size adaptation. Comparison with some classical approaches on real SAS data reveal the efficiency of such an idea

Keywords

adaptive signal processing; image denoising; interference suppression; matched filters; oceanographic techniques; synthetic aperture sonar; 2D stochastic matched filtering method; SAS images denoising; adaptive processing; granular multiplicative noise; radiometric resolution; signal autocorrelation function adaptation; spatial resolution; speckle noise reduction; subimage size adaptation; Image denoising; Image resolution; Matched filters; Noise reduction; Radiometry; Spatial resolution; Speckle; Stochastic processes; Stochastic resonance; Synthetic aperture sonar;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS 2006

Conference_Location

Boston, MA

Print_ISBN

1-4244-0114-3

Electronic_ISBN

1-4244-0115-1

Type

conf

DOI

10.1109/OCEANS.2006.307125

Filename

4098921