摘要
随着船舶信息技术的不断发展,自动识别系统(AIS)在海上交通管理和船舶航行安全中愈发重要。针对舰船的军民类型识别问题,提出了一种基于AIS数据的辨识方法。对AIS数据进行了高效航路聚类分析,建立了航迹关键点分布的敏感海域模型,计算了舰船的军民属性概率,最后通过构建类别分类器实现对舰船军民属性的判断。所提方法利用廉价、全域覆盖、高频率的AIS信息进行舰船军民类型识别,可以常态化对海域中存在的威胁行为进行提前发现和预警,为后续的应对处置提供了支撑和辅助决策。
With the continuous development of ship information technology,automatic identification system(AIS)plays an increasingly important role in marine traffic management and ship navigation safety.In this paper,a ship identification method based on AIS data is proposed to solve the problem of military-civilian type identification of ships.The method establishes a sensitive sea area model for the distribution of key points of ship trajectories,calculates the probability of military-civilian attributes of ships,and constructs a category classifier to judge the military-civilian attributes of ships.The proposed method uses cheap,all-domain coverage and high frequency AIS information to identify the military and civilian types of ships,which can detect and warn the threatening behaviors existing in the sea area in advance,provide support and auxiliary decision-making for subsequent response and disposal.
作者
牟方厉
刘颖
樊子德
邓雅文
朱可卿
赵新昱
MOU Fangli;LIU Ying;FAN Zide;DENG Yawen;ZHU Keqing;ZHAO Xinyu(Key Laboratory of Target Cognition and Application Technology,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,100084,China;Unit 91977 of PLA,Beijing,100089,China)
出处
《指挥控制与仿真》
2025年第4期40-48,共9页
Command Control & Simulation
基金
中国科学院A类战略性先导科技专项(Grant No.XDA0310502)
中国科学院未来之星青年基金(Grant No.E3Z10701)。
关键词
AIS数据
舰船军民属性
数据挖掘
异常特征
AIS data
ship s military and civilian attributes
data mining
abnormal features
