%0 Journal Article
%T A Coastal Zone Segmentation Variational Model and Its Accelerated ADMM Method A Coastal Zone Segmentation Variational Model and Its Accelerated ADMM Method
%A HUANG Baoxiang
%A CHEN Ge
%A ZHANG Xiaolei
%A YANG Huan
%J 中国海洋大学学报（英文版）
%D 2017
%X Effective and efficient SAR image segmentation has a significant role in coastal zone interpretation. In this paper, a coastal zone segmentation model is proposed based on Potts model. By introducing edge self-adaption parameter and modifying noisy data term, the proposed variational model provides a good solution for the coastal zone SAR image with common characteristics of inherent speckle noise and complicated geometrical details. However, the proposed model is difficult to solve due to to its nonlinear, non-convex and non-smooth characteristics. Followed by curve evolution theory and operator splitting method, the minimization problem is reformulated as a constrained minimization problem. A fast alternating minimization iterative scheme is designed to implement coastal zone segmentation. Finally, various two-stage and multiphase experimental results illustrate the advantage of the proposed segmentation model, and indicate the high computation efficiency of designed numerical approximation algorithm
%U http://qdhb.cbpt.cnki.net/WKD/WebPublication/paperDigest.aspx?paperID=29f85512-31c4-4289-9f6a-7215ca4b7066