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Deep Nets Spotlight Illegal, Unreported, Unregulated (IUU) Fishing

机译:深网聚光灯非法,不报告,不管制(IUU)捕鱼

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摘要

The need for increased global surveillance and enforcement efforts to combat Illegal, Unreported, Unregulated (IUU) fishing is well known. This paper describes the current research status in developing a novel technique of associating Automated Identification System (AIS) anti-collision messages to satellite vessel detects. Each detected ship image has a wealth of information which allows development of dark ship tracking and identification. A dark ship is a ship that is not broadcasting AIS. Ships involved in illegal activities often disable their AIS transmitter to avoid detection by authorities. Dark ship tracking and identification uses a deep similarity metrics to compare current and previous observations. If any of the previous observations have an identity, e.g. a known vessel on the international IUU watch-list, then the probability of its involvement in illegal activity is increased. Additional indicators of IUU activity such as frequent flag changes are combined in a probabilistic evaluation of accumulated evidence using local laws, rules, and regulations to render IUU assessments using commercially available imagery and data sources.
机译:众所周知,需要加强全球监测和执法力度,以打击非法,不报告,不管制捕鱼。本文介绍了开发一种将自动识别系统(AIS)防撞消息与卫星船只检测相关联的新技术的当前研究现状。每个检测到的船只图像都有大量信息,可用于发展黑暗船只的跟踪和识别。黑暗船是不广播AIS的船。从事非法活动的船舶通常会禁用其AIS发射器,以免被当局发现。暗船跟踪和识别使用深度相似性指标来比较当前和以前的观察结果。如果先前的任何观察结果具有身份,例如国际IUU监视列表中的已知船只,那么其参与非法活动的可能性就会增加。 IUU活动的其他指标(例如频繁更改标志)结合使用当地法律,法规和规例对累积证据进行概率评估,以使用可商购的图像和数据源进行IUU评估。

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