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The fusion of images from the optical and SAR sensors enables an effective analysis by complementing the weakness of each other. However, unlike optical image, geometrical distortions commonly occur during image acquisition of SAR images due to the geometrical characteristics of the target ground. Thus, geometrical correction becomes an important preprocess for SAR image fusion. This paper presents an advanced yet efficient automatic geometrical correction method. A simple yet efficient algorithm called SURF (Speeded Up Robust Features) is adopted and modified to make it fully applicable to SAR images.