Ship behavior prediction and anomaly detection using LSTM-DCross model based on AIS and remote sensing data

Ship behavior prediction and anomaly detection using LSTM-DCross model based on AIS and remote sensing data

Accurate and reliable prediction of ship movements is critical for maritime safety and traffic management, yet it remains challenging due to the nonlinearity, stochasticity, and trendiness of ship motions. This paper proposes a deep cross LSTM network (LSTM-DCross) based on AIS time series data to o...

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Bibliographic Details
Main Authors: Wanrong Wu, Dongmei Yan, Jun Yan, Xiaowei Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2025-08-01
Series:International Journal of Digital Earth
Subjects:
AIS data
Ship trajectory prediction
Long short-term memory network
Attention mechanism
Encoder-decoder model
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2025.2515251
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