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SAR-based sea traffic monitoring: a reliable approach for Maritime Surveillance

机译:基于SAR的海上交通监测:用于海上监控的可靠方法

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Maritime surveillance problems are drawing the attention of multiple institutional actors. National and international security agencies are interested in matters like maritime traffic security, maritime pollution control, monitoring migration flows and detection of illegal fishing activities. Satellite imaging is a good way to identify ships but, characterized by large swaths, it is likely that the imaged scenes contain a large number of ships, with the vast majority, hopefully, performing legal activities. Therefore, the imaging system needs a supporting system which identifies legal ships and limits the number of potential alarms to be further monitored by patrol boats or aircrafts. In this framework, spaceborne Synthetic Aperture Radar (SAR) sensors, terrestrial AIS and the ongoing satellite AIS systems can represent a great potential synergy for maritime security. Starting from this idea the paper develops different designs for an AIS constellation able to reduce the time lag between SAR image and AIS data acquisition. An analysis of SAR-based ship detection algorithms is also reported and candidate algorithms identified.
机译:海上监视问题正在绘制多机构行动者的注意。国家和国际安全机构有兴趣像海上交通的安全,海洋污染控制事项,监督移民流动和非法捕鱼活动的检测。卫星成像是一个很好的方法来识别船舶,但是,其特点是大片,很可能被拍的场景中含有大量的船舶,与绝大多数,希望进行合法活动。因此,成像系统需要识别法律船舶和限制到由巡逻艇或飞机来进一步监控潜在警报的数量的支撑系统。在此框架下,星载合成孔径雷达(SAR)传感器,地面AIS和正在进行的卫星AIS系统可以代表海上安全有很大潜在的协同作用。从这个思路出发纸为AIS星座能够降低SAR图像和AIS数据采集之间的时间间隔开发不同的设计。基于SAR舰检测算法的分析也报道和候选算法识别。

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