Title :
The Adaptive Stochastic Matched Filter for SAS Images denoising
Author :
Courmontagne, Philippe ; Chaillan, Fabien
Author_Institution :
Inst. Superieur d´´Electron. du Nord, Toulon
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;
Conference_Titel :
OCEANS 2006
Conference_Location :
Boston, MA
Print_ISBN :
1-4244-0114-3
Electronic_ISBN :
1-4244-0115-1
DOI :
10.1109/OCEANS.2006.307125
