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.

中文翻译：

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天基全球海上监视。第二部分：人工智能和数据融合技术


海上监视（MS）对于搜救行动、渔业监测、污染控制、执法、移民监测和国家安全政策至关重要。由于地基雷达和自动识别系统（AIS）并不总是能够全面、无缝地覆盖整个海域，因此使用天基传感器对于补充它们至关重要。我们在这项工作的第一部分（题为“天基全球海上监视”）中回顾了 MS 的天基技术。第一部分：卫星技术。”然而，将多个地面和天基传感器与附加信息源相结合的 MS 系统需要专用的人工智能和数据融合技术来处理原始卫星图像并融合异构信息。我们工作的第二部分重点关注一些最近有前景的人工智能和使用天基传感器的 MS 数据融合技术。