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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2515251 |
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