深网聚焦非法、未报告、不管制(IUU)捕鱼

Darrell L. Young
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引用次数: 5

摘要

众所周知,有必要加强全球监督和执法努力,打击非法、不报告、不管制(IUU)捕鱼。本文介绍了一种将自动识别系统(AIS)防撞信息与卫星船舶检测相关联的新技术的研究现状。每一幅被探测到的船舶图像都具有丰富的信息,这使得暗船跟踪和识别技术得以发展。dark ship是指不发送AIS信号的船。从事非法活动的船舶经常关闭其AIS发射机以避免被当局发现。暗船跟踪和识别使用深度相似度量来比较当前和以前的观察结果。如果任何先前的观察结果具有身份,例如,在国际IUU观察名单上的已知船只,则其参与非法活动的可能性就会增加。IUU活动的其他指标,如频繁更换国旗,结合当地法律、规则和条例对积累的证据进行概率评估,利用商业上可获得的图像和数据源进行IUU评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep Nets Spotlight Illegal, Unreported, Unregulated (IUU) Fishing
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.
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