Coastline detection from Remote Sensing image based on K-Mean Cluster and Distance Transform algorithm

摘要：

　　Using remote sensing technique to determine coastlines position has been received vital attention.This paper presents a novel approach for detecting coastline of remote sensing image based on K-Means cluster and Distance Transform algorithm.K-Means cluster algorithm divides the image into two regions-water and land area.Then to extract the sea area by distance transfoming.Finally,the coastline will be detected by edge traking.Results showed that the method proposed in this paper have good performance in accuracy and completeness.

关键词： coastline detection K-Means Distance Transform

作者: Liu Ying

作者单位: Computer Department,Ganzhou Teachers College,Ganzhou,341000,China

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 782-786

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）