船舶AIS轨迹聚类方法研究进展综述  

Research Progress on Clustering AIS Trajectory of Vessels

作　　者：徐良坤 任律珍[2] 周世波[2] XU Liang-kun;REN Lv-zhen;ZHOU Shi-bo(Merchant Marine College,Shanghai Maritime University,Shanghai ,201306,China;Navigation College,Jimei University,Xiamen ,361021,China)

机构地区：[1]上海海事大学商船学院,上海201306 [2]集美大学航海学院,福建厦门361021

出　　处：《广州航海学院学报》2019年第2期7-12,47,共7页Journal of Guangzhou Maritime University

基　　金：福建省自然科学基金(2016J1243)

摘　　要：围绕船舶聚类算法这一关键问题,在对国内外相关文献进行系统研究的基础上,归纳了船舶轨迹聚类的方法,评述了各聚类方法在船舶轨迹聚类上应用的优点和不足,讨论了船舶轨迹聚类在数据属性多和可视化大等方面临的挑战和未来的发展趋势.Based on systematic study for relevant articles of both home and abroad,the key problem of clusting algorithm is disscussed and summarized,thd advantage and disadvantages of each clustering method in ship track clustering are review the challenges and future development trend of ship track clustering in data attribute and visualization are discussed. This Essay focused on the core of clustering algorithms.

关 键 词：船舶轨迹 聚类算法 五视化 

分 类 号：U676.1[交通运输工程—船舶及航道工程]