A novel ship trajectory clustering analysis and anomaly detection method based on AIS data

Author:

Zhang Chuang,Liu Songtao,Guo Muzhuang,Liu Yuanchang

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference34 articles.

1. An adaptive threshold fast DBSCAN algorithm with preserved trajectory feature points for vessel trajectory clustering;Bai;Ocean Eng.,2023

2. Fast feature selection for interval-valued data through kernel density estimation entropy;Dai;International Journal of Machine Learning and Cybernetics,2020

3. Malicious AIS spoofing and abnormal stealth deviations: a comprehensive statistical framework for maritime anomaly detection;D'Afflisio;IEEE Trans. Aero. Electron. Syst.,2021

4. A density-based algorithm for discovering clusters in large spatial databases with noise;Ester;Kdd,1996

5. Trajectory pattern extraction and anomaly detection for maritime vessels;Gözde;Internet of Things,2021

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