Vessel Trajectory Anomaly Detection Based on Multi-scale Convolutional Autoencoder

Traditional methods for detecting anomalies in vessel trajectories do not adequately account for the multidimensional characteristics of vessel behavior, and lack the ability to capture trajectory details. To address these issues, a method of vessel trajectory anomaly detection based on Multi-scale...

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Veröffentlicht in:	Ocean engineering Jg. 343; S. 123564
Hauptverfasser:	Qi, Yuhao, Yang, Jiaxuan, Xu, Dongsheng, Shao, Ran, Duan, Yangyang, Wang, Yangjie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.01.2026
Schlagworte:	Anomaly detection Multi-scale convolutional autoencoder Multidimensional features Vessel trajectory Multi-scale convolutional autoencoder Vessel trajectory Multidimensional features Anomaly detection
ISSN:	0029-8018
Online-Zugang:	Volltext
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