Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning

Author:

Bernabé Pierre1ORCID,Gotlieb Arnaud2,Legeard Bruno1,Marijan Dusica1ORCID,Sem-Jacobsen Frank Olaf3,Spieker Helge1ORCID

Affiliation:

1. Simula Research Laboratory, Oslo, Norway

2. Institut FEMTO-ST, Université de Bourgogne Franche-Comté, Besançon, France

3. Statsat AS, Oslo, Norway

Funder

Norwegian Research Council (RCN) TSAR Project [Experimental Infrastructure to Explore Exascale Calculus (eX3)]

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Online Ornstein–Uhlenbeck based anomaly detection and behavior classification using AIS data in maritime;Ocean Engineering;2024-11

2. Automatic Detection of Dark Ship-to-Ship Transfers Using Deep Learning and Satellite Imagery;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Mobility Data Mining: the Maritime Use Case;2024 11th International Workshop on Metrology for AeroSpace (MetroAeroSpace);2024-06-03

4. AIS-Based Vessel Trajectory Compression: A Systematic Review and Software Development;IEEE Open Journal of Vehicular Technology;2024

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