Speckle filter presentation depends strongly on the speckle and scene models used as the basis for filter development. The mean shift algorithm, which is use as moving window and utilizes both spatial and range information about an image, is widely used in cardinal image filtering and segmentation. In this paper a new method is used for removing the speckle noise from Synthetic Aperture Radar (SAR) image. The mean shift algorithm is an orientation based nonlinear process to remove the speckle noise present in the SAR image. Applying the conventional mean shift algorithm directly to SAR image filtering will change the operational elements of the SAR data. However, they suffer from the speckle noise. Hence, the processing of SAR image is applied in two stages: speckle removal filters and image segmentation methods for SAR data mapping. The speckle noise has been reduced with the help of Lee, Non-local and Mean shift filters. The offered mean shift algorithm is very useful for SAR image filtering directly without any preprocessing steps. The effects of initial value estimating and multilook processing on the filtered results are talk over at the end of this paper.
Mean Shift, Synthetic Aperture Radar (SAR), Speckle filtering
