High Resolution SAR Images Multi-Layer Segmentation Based on Graph Partitioning

A method based on multi-scale inherited information for SAR image segmentation is proposed. This method combines image´s macroscopical and microcosmical features together, introducing the traditional single scale processing technique into the dynamic changing multi-scale analyzed framework, which makes it easy to obtain image essential features. Anisotropic diffusion equation is adopted to get multi-scale images sequences. From coarser scale to finer scale inherited graph partitioning strategy is used, for coarser scale is easy to be segmented and the segmentation results can lead finer scale segmentation. The experimental results on real high resolution SAR images demonstrate the merit of proposed method. Moreover, this method can fulfill the request of different image processing task, and consists with people´s cognizing process and vision process system.