Robust algorithm for detecting floodwater in urban areas using synthetic aperture radar images
Robust algorithm for detecting floodwater in urban areas using synthetic aperture radar images
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DOI：
10.1117/1.jrs.12.045011
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发表时间：
2018-11-05
影响因子：
1.7
通讯作者：
Cloke, Hannah L.
中科院分区：
文献类型：
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作者：
Mason, David C.;Dance, Sarah L.;Cloke, Hannah L.
洪水是全世界农村和城市地区的一个主要危害，但城市地区的影响最为严重。高分辨率合成孔径雷达（SAR）传感器能够在白天和夜间检测城市地区的洪水范围。如果在接近真实的时间获得，这些洪水范围可以用于紧急洪水救济管理或作为观测同化到洪水预报模型。开发了一种使用近实时SAR数据检测城市地区洪水的方法，并在涉及不同洪水事件和不同图像的各种场景下进行了广泛的测试。该方法使用SAR模拟器结合城市区域的LiDAR数据来预测由建筑物和较高植被引起的图像中的雷达阴影和停留区域。在SAR可见的城市水域像素中，测试示例的平均洪水检测准确率为83%，虚警率为9%。结果表明，洪水可以在城市地区检测到合理的精度，但这种精度是有限的，部分由SAR的城市地面的能见度差，由于阴影和停留。(C)作者。由SPIE在知识共享署名3.0未移植许可下发布。
Flooding is a major hazard in both rural and urban areas worldwide, but it is in urban areas that the impacts are most severe. High-resolution synthetic aperture radar (SAR) sensors are able to detect flood extents in urban areas during both day- and night-time. If obtained in near real time, these flood extents can be used for emergency flood relief management or as observations for assimilation into flood forecasting models. A method for detecting flooding in urban areas using near real-time SAR data is developed and extensively tested under a variety of scenarios involving different flood events and different images. The method uses an SAR simulator in conjunction with LiDAR data of the urban area to predict areas of radar shadow and layover in the image caused by buildings and taller vegetation. Of the urban water pixels visible to the SAR, the flood detection accuracy averaged over the test examples is 83%, with a false alarm rate of 9%. The results indicate that flooding can be detected in the urban area to reasonable accuracy but that this accuracy is limited partly by the SAR's poor visibility of the urban ground surface due to shadow and layover. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.