首页 > 过刊浏览>2017年第31卷第3期 >329-337. DOI:10.13382/j.jemi.2017.03.001
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船舶轨迹异常检测方法研究进展
作者:
作者单位:

1.北京交通大学交通运输学院北京100044; 2. 集美大学航海学院厦门361021

中图分类号:

U676.1；TN99

基金项目:

国家自然科学基金（61672002，61272029，41501490）、福建省自然科学基金（2016J01243）、福建省教育厅基金（JA14182）、集美大学李尚大基金（ZC2011018）资助项目


Research progress on anomaly detection in vessel tracking
Author:
Affiliation:

1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044,China; 2. Navigation College, Jimei University, Xiamen 361021, China

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    摘要:

    近年来，异常检测技术在分析和利用船舶轨迹数据中扮演着越来越重要的角色，已经成为航海领域的一个热点研究方向。船舶轨迹的异常检测旨在利用相关的异常检测算法，研究船舶个体或群体的行为特征，发现隐藏在其中的船舶异常行为模式或船位。主要从船舶位置和行为方面分析了船舶异常行为的概念和分类，综述了船舶轨迹异常检测的方法，评述了各方法在船舶轨迹异常检测中应用的优点和不足，讨论了船舶轨迹异常检测存在的问题和面临的挑战。

    Abstract:

    In recent years, anomaly detection plays a more and more important role in the analysis and utilization of vessel trajectory data, and has become a hot research direction in the field of navigation. The aims of detecting abnormal vessel trajectory are to study the behavioral characteristics of individuals or groups vessel and find traffic patterns and traffic characteristics hidden inside. The concept and classification of abnormal behavior of vessels are analyzed mainly from the aspects of ship position and behavior, the recent theoretical research progress in detecting abnormal vessel trajectory is summarized, the advantages and disadvantages of each method used are reviewed, and the problems and challenges in the detection of abnormal vessel trajectory are discussed finally.

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周世波,徐维祥.船舶轨迹异常检测方法研究进展[J].电子测量与仪器学报,2017,31(3):329-337

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