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Effective Monitoring for marine debris after Great East Japan Earthquake by using spaceborne synthetic aperture radar

机译:使用星载合成孔径雷达对东日本大地震后的海洋垃圾进行有效监测

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The Great East Japan Earthquake occurred at March 11, 2011 and caused massive tidal wave. The tsunami swept away a large quantity of rubble and vessels to the sea and they become so-called marine debris. To assess damage situation and protect marine environment, it is essentially required to investigate the status of those marine debris. The technique based on spaceborne synthetic aperture radar (SAR) can be a strong candidate to achieve this ultimate goal, because of its wide observation area and higher resolution with flexible operability: regardless of the day and night and regardless of the weather. We have monitored marine debris on huge amount of spaceborne SAR imagery right after the great disaster and investigated an effective observation of marine debris to predict future direction. In this paper, we firstly define three types of debris as large debris, small debris, and cluster by considering how marine debris looks like on the SAR imagery. Then, an automatic but accurate detection and classification of a large amount of debris on SAR imagery is proposed. Based on those results, resolution and swath width for efficient marine debris monitoring are obtained. Velocity of marine debris is additionally estimated from multi-temporal SAR images to derive optimum swath width.
机译:东日本大地震发生在2011年3月11日,引起了巨大的海浪。海啸将大量的瓦砾和船只扫向大海,它们变成了所谓的海洋垃圾。为了评估破坏情况并保护海洋环境,本质上需要调查这些海洋垃圾的状况。基于星载合成孔径雷达(SAR)的技术可以实现此最终目标,因为它具有广阔的观察范围和更高的分辨率,并且具有灵活的可操作性:无论白天和黑夜,无论天气如何,该技术都可以成为实现此最终目标的有力选择。灾难发生后,我们在大量星载SAR图像上监视了海洋垃圾,并调查了有效观察海洋垃圾以预测未来的方向。在本文中,我们首先考虑SAR影像上的海洋垃圾,将三种垃圾定义为大垃圾,小垃圾和簇。然后,提出了一种自动但准确的SAR图像上大量碎片的检测和分类方法。根据这些结果,可以获得有效监测海洋垃圾的分辨率和条幅宽度。另外,还可以根据多时相SAR图像估算海洋碎片的速度,以得出最佳的条带宽度。

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