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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,大东日本地震后对海洋碎片进行有效监测

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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:大东日本地震发生在2011年3月11日,并引起了大量的潮汐。海啸将大量的瓦砾和血管扫过大海,并成为所谓的海洋碎片。为了评估损坏情况并保护海洋环境,基本上需要调查这些海洋碎片的地位。基于星载合成孔径雷达(SAR)的技术可以是实现这一最终目标的强烈候选者,因为其宽阔的观察区和具有柔性可操作性的更高分辨率:无论白天和夜晚,无论天气如何。我们在大灾害后立即监测了海洋碎片,在大灾害后立即进行了大量的空间繁殖的SAR图像,并调查了对海洋碎片的有效观察来预测未来的方向。在本文中,我们首先通过考虑在SAR图像上的海洋碎片看起来像是如何定义三种类型的碎片,小碎片,小碎片和集群。然后,提出了一种在SAR图像上的大量碎片的自动但精确的检测和分类。基于这些结果,获得了有效的海洋碎片监测的分辨率和条子宽度。从多时间SAR图像估计海洋碎片的速度,以导出最佳条形宽度。

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