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Detection of water-logging in a large number of paddy fields

机译:检测大量稻田中的涝渍

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On March 11, 2011, a huge earthquake hits Japan. The earthquake wreaked enormous damage on a wide area of north-eastern Japan. Many farmlands also suffered much damage. Therefor it was necessary to evaluate which paddy rice field the cultivation was carried out in. In this time I tried to detect water logging in a large number of paddy fields on a wide area, which number is over million. The study carried out using RADARSAT-2 wide mode data. All each paddy fields were classified as water logging or non-water logging by threshold. The threshold value decided automatically each scene. As a result, mapping of water logging paddy fields was successes. The overall accuracy of map evaluates 77.05% from ground truth data. The detection accuracy of wide fine mode is somewhat lower than fine mode which uses previous study. However price/area of the Wide Fine mode is about one-five of Fine mode. The Wide Fine mode of RADARSAT-2 is useful for detection of water logging in a large number of paddy fields on a wide area.
机译:2011年3月11日,日本发生大地震。地震在日本东北部的广大地区造成了巨大的破坏。许多农田也遭受了很大的破坏。因此,有必要评估在哪个稻田中进行耕种。这次,我试图检测大面积上百万以上的大量稻田中的水浸情况。该研究使用RADARSAT-2宽模式数据进行。通过阈值将所有每个稻田都划分为水淹或非水淹。阈值自动确定每个场景。结果,成功绘制了水淹稻田的地图。根据地面真实数据,地图的总体准确性为77.05%。宽精细模式的检测精度比以前的研究略低。但是,“宽精细”模式的价格/面积约为“精细”模式的五分之一。 RADARSAT-2的“宽精细”模式可用于检测大范围内大量稻田中的水浸情况。

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