Space-Based Global Maritime Surveillance. Part II: Artificial Intelligence and Data Fusion Techniques

Maritime surveillance (MS) is of paramount importance for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies. Since ground-based radars and automatic identification system (AIS) do not always provide a comprehens...

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Bibliographic Details
Published in:IEEE aerospace and electronic systems magazine 2021-09, Vol.36 (9), p.30-42
Main Authors: Soldi, Giovanni, Gaglione, Domenico, Forti, Nicola, Millefiori, Leonardo M., Braca, Paolo, Carniel, Sandro, Simone, Alessio Di, Iodice, Antonio, Riccio, Daniele, Daffina, Filippo Cristian, Quattrociocchi, Dino, Bottini, Gianfausto, Willett, Peter, Farina, Alfonso
Format: Magazinearticle
Language:English
Subjects:
Artificial intelligence
Data integration
Fisheries
Image sensors
Information sources
Maritime satellites
Military strategy
Multisensor fusion
Pollution control
Pollution monitoring
Rescue operations
Satellite imagery
Satellites
Search and rescue missions
Sensor fusion
Sensors
Spaceborne radar
Surveillance
Target tracking
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Summary:Maritime surveillance (MS) is of paramount importance for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies. Since ground-based radars and automatic identification system (AIS) do not always provide a comprehensive and seamless coverage of the entire maritime domain, the use of space-based sensors is crucial to complement them. We reviewed space-based technologies for MS in the first part of this work, titled “Space-based Global Maritime Surveillance. Part I: Satellite Technologies.” However, MS systems combining multiple terrestrial and space-based sensors with additional information sources require dedicated artificial intelligence and data fusion techniques for processing raw satellite images and fusing heterogeneous information. The second part of our work focuses on some recent promising artificial intelligence and data fusion techniques for MS using space-based sensors.
ISSN:0885-8985
1557-959X
DOI:10.1109/MAES.2021.3070884