Multitemporal SAR image filtering using 3D adaptive neighborhoods

In this paper, we present a new method for multitemporal SAR image filtering using 3D adaptive neighborhoods. The method takes into account both spatial and temporal information to derive the speckle-free value of a pixel. For each pixel individually, a 3D adaptive neighborhood is determined to contain only pixels coming from the same distribution as the current one. Then statistics computed inside the established neighborhood are used to derive the filter output. It is shown that the method provides good results by drastically reducing speckle over homogeneous areas while retaining edges and thin structures. The performances of the proposed method are compared in terms of subjective and objective measures with those given by several classical speckle filtering methods.

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