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An automatic ship and ship wake detection system for spaceborne SAR images in coastal regions

机译:沿海地区星载SAR图像的自动舰船和舰船尾迹检测系统

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An automatic ship and ship wake detection system for spaceborne SAR images is described and assessed. The system is designed for coastal regions with eddies, fronts, waves and swells. The system uses digital terrain models to simulate synthetic SAR images to mask out land areas. Then a search for ship targets is performed followed by wake search around detected ship candidates. Finally, a homogeneity test and wake behavior test are performed which reduces the number of false alarms substantially. The system is demonstrated with ERS-1 SAR images and its performance is assessed using Seasat and ERS-1 images. No other information about the ships was available, hence, the basis for the assessment is through comparison with human visual interpretation of the same data. The number of lost ships (ship-like targets) was 7-8% for both Seasat-A and ERS-1. No false ships were detected. The number of lost or false wakes (wake-like features) was higher in ERS-1 images than in Seasat-A images and was nearly 15%. Taking into account the extremely strong variations in sea state in some of the selected scenes, the automatic detection performance is considered to be very good. In addition, the requirement of analyzing a 3-look ERS-1 scene of 100 km/spl times/100 km in less than eight minutes has been achieved on a workstation.
机译:描述和评估了用于星载SAR图像的自动舰船和舰船尾迹检测系统。该系统专为涡流,锋面,波浪和涌浪等沿海地区设计。该系统使用数字地形模型来模拟合成SAR图像以掩盖陆地区域。然后,执行对船只目标的搜索,然后在检测到的候选船只周围进行唤醒搜索。最后,执行同质性测试和唤醒行为测试,这将大大减少错误警报的数量。用ERS-1 SAR图像演示了该系统,并使用Seasat和ERS-1图像评估了其性能。没有关于船只的其他信息,因此,评估的基础是通过与人类对相同数据的视觉解释进行比较。 Seasat-A和ERS-1损失的船只数量(类船目标)为7-8%。没有发现错误的船只。 ERS-1图像中丢失或错误的唤醒次数(类似唤醒功能)的数量比Seasat-A图像中的数量高,并且接近15%。考虑到某些选定场景中海况的极强变化,自动检测性能被认为是非常好的。另外,在工作站上已经实现了在不到八分钟的时间内分析100 km / spl次/ 100 km的三眼ERS-1场景的要求。

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