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Vessel Trajectory Anomaly Detection Based on Multi-scale Convolutional Autoencoder
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DOI：10.1016/j.oceaneng.2025.123564.png)
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Abstract
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• A mechanism for generating multidimensional features trajectory maps is presented. • An MCAE model capable of effectively capturing trajectory details is constructed. • An algorithm of vessel trajectory anomaly detection based on MCAE is proposed. • The proposed method is verified through real case analysis and model comparison.