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

Darrell L. Young
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引用次数: 5

Abstract

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.
深网聚焦非法、未报告、不管制(IUU)捕鱼
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。
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