SAR image segmentation based on random projection and signature frame
Biao Hou, Na Li, Shuang Wang, Xiangrong Zhang · 2014
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.