The Adaptive Stochastic Matched Filter for SAS Images denoising
Philippe Courmontagne, Fabien Chaillan · 2006
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