A method for speckle intelligent filtering of SAR image based on rough sets theory

Synthetic aperture radar (SAR) adopted an active imaging way of coherent waves, so an immanent problem of the disturbance of the speckle is posed in rebuilding image from original signals. According to condition attribute based on local statistical model in rough sets theory this paper classified the pixels of the SAR image into three kinds; homogeneity region, inhomogeneity region and insularity pixels point of object. The different filtering ways were used to deal with the different kinds of pixels, and three subimages are merged into a new SAR image with the speckle having been filtered. The method is proved to be practical and efficient by the experiments. It could not only filter speckle noise but also remain fine characteristic, and it is useful for image process.