SAR image segmentation based on random projection and signature frame

This paper proposes a new Synthetic Aperture Radar (SAR) image segmentation method based on the frame of Signature/Earth Mover´s Distance (EMD). Firstly, Random Projection is used to extract features of SAR image, which has the abilities of preserving information and reducing dimensionality. Secondly, a signature is used to obtain the cluster center and the weight. Finally, by computing the distance between two signatures using Earth Mover´s Distance, we can obtain the final segmentation result. The experimental results show that the proposed method is efficient and effective for SAR image segmentation.