SAR Image Segmentation Based on G_A⁰ Statistical Model-level Set method

To solve the problem that optical image segmentation method is not suitable for SAR image and cannot obtain the accurate segmentation results,which is affected by synthetic aperture radar image′speckle noise,a SAR image segmentation method based on G_A⁰ statistical model and level set is presented in this paper.Firstly,a energy mapping function based on G_A⁰ statistical model is defined to instead of pixel values for subsequent image processing,which can reduce the speckle noise′influence;Secondly,using level set method to finish images′segmentation,this article uses a more simple energy function which is easy to be used to deal with multiregion SAR images′ segmentation.Experimental results show that this method can reduce speckle noise′influence in SAR image segmentation process,and has better accuracy and adaptive.