Flood Detection in Urban Areas Using TerraSAR-X
Flood Detection in Urban Areas Using TerraSAR-X
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DOI：
10.1109/tgrs.2009.2029236
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发表时间：
2010-02-01
影响因子：
8.2
通讯作者：
Bates, Paul D.
中科院分区：
文献类型：
--
作者：
Mason, David C.;Speck, Rainer;Bates, Paul D.
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。高分辨率的TerraSAR-X合成孔径雷达（SAR）数据的能力，以检测淹没地区的城市地区的调查。这项研究使用了美国图克斯伯里附近150年一遇洪水的TerraSAR-X图像。K.，在2007年，其中同期航空摄影存在验证。德国航空航天中心的合成孔径雷达端到端模拟器与机载扫描激光测高数据结合使用，以估计图像中由于建筑物和较高植被造成的阴影或停留而看不到水的区域。一个半自动的算法在城市地区的洪水检测，连同其验证使用航空照片。在TerraSAR-X可见的城市水体像素中，76%被正确检测到，相关的假阳性率为25%。如果考虑到所有的城市水像素，包括阴影和停留区，这些数字分别下降到58%和19%。该算法的目的是产生城市洪水范围与校准和验证城市洪水淹没模型，这些研究结果表明，TerraSAR-X是能够为此目的提供有用的数据。
Flooding is a major hazard in both rural and urban areas worldwide, but it is in urban areas that the impacts are most severe. An investigation of the ability of high-resolution TerraSAR-X synthetic aperture radar (SAR) data to detect flooded regions in urban areas is described. The study uses a TerraSAR-X image of a one-in-150-year flood near Tewkesbury, U. K., in 2007, for which contemporaneous aerial photography exists for validation. The German Aerospace Center (DLR) SAR end-to-end simulator (SETES) was used in conjunction with airborne scanning laser altimetry (LiDAR) data to estimate regions of the image in which water would not be visible due to shadow or layover caused by buildings and taller vegetation. A semiautomatic algorithm for the detection of floodwater in urban areas is described, together with its validation using aerial photographs. Of the urban water pixels that are visible to TerraSAR-X, 76% were correctly detected, with an associated false positive rate of 25%. If all the urban water pixels were considered, including those in shadow and layover regions, these figures fell to 58% and 19%, respectively. The algorithm is aimed at producing urban flood extents with which to calibrate and validate urban flood inundation models, and these findings indicate that TerraSAR-X is capable of providing useful data for this purpose.