A Coastline Detection Method Based on Level Set

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• 作者：Qian Wang (17)
  Ke Lu (17)
  Fuqing Duan (18)
  Ning He (19)
  Lei Yang (20)
  
• 关键词：Edge detection ; level set method ; IR image processing
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：8008
• 期：1
• 页码：227-235
• 全文大小：487KB
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• 作者单位：Qian Wang (17)
  Ke Lu (17)
  Fuqing Duan (18)
  Ning He (19)
  Lei Yang (20)
  
  17. College of Engineering and Information Technology, Graduate University of Chinese Academy of Sciences, Beijing, 100049, China
  18. College of Information Science and Technology, Beijing Normal University, Beijing, 100875, China
  19. School of Information, Beijing Union University, Beijing, 100101, China
  20. National Satellite Meteorological Center, Beijing, 100081, China
  

文摘

This paper proposes a level set based coastline detection method by using the template initialization and local energy minimization. It can complete the sea-land boundary detection in infrared channel image. This method is an improvement on the traditional level set algorithm by using the information of GSHHS to optimize the initialization procedure, which can reduce the number of iterations and numerical errors. Moreover, this method optimizes regional energy functional, and can achieve the rapid coastline detection. Experiments on the IR image of FY-2 satellite show that the method has fast speed and high accuracy.