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Extracting the Flood Extent from Satellite SAR Image with the Support of Topographic Data

机译:借助地形数据从卫星SAR图像中提取洪水泛滥

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Satellite SAR image is broadly used in monitoring and evaluating flood disaster. It is difficult to automatically extract the flood extent from RADARSAT SAR image because of the confusion of the gray value between flood and shade in imagery gray. Therefore, Extracting the flood extent from Satellite SAR image with the support of digital topographic data was explored here. It included several steps as follows. Firstly, RADARSAT SAR imagery was filtered by Enhanced frost filter with window size of 7 pixels by 7 pixels, and geo-registered to the topographic map. Secondly, Flood extent was primarily extracted from RADARSAT SAR imagery. Thirdly, DEM was created from the digital topographic data by using GIS software. Fourthly, simulated SAR imagery was created from DEM. Finally, the simulated SAR imagery was registered to RADARSAT SAR imagery, and the shade from the simulated SAR image was used to mask the mislabeled flood extent from RADARSAT SAR due to its shadow influence. It is shown that the flood extent can be accurately, semi-automatically extracted from RADARSAT SAR by the method. It also is shown that the method is not only suitable for RADARSAT SAR imagery, but also suitable for other satellite SAR imagery with the different imaging mode, especially for SAR image covering mountainous area.
机译:卫星SAR图像被广泛用于监测和评估洪水灾害。由于图像灰度中洪水和阴影之间的灰度值混淆,很难从RADARSAT SAR图像中自动提取洪水范围。因此,本文探讨了在数字地形数据的支持下从卫星SAR图像中提取洪水泛滥的方法。它包括以下几个步骤。首先,使用增强型除霜滤镜对RADARSAT SAR图像进行滤波,其窗口大小为7像素乘以7像素,并地理注册到地形图上。其次,洪水范围主要是从RADARSAT SAR影像中提取的。第三,使用GIS软件根据数字地形数据创建DEM。第四,从DEM创建模拟的SAR图像。最后,将模拟的SAR图像注册到RADARSAT SAR图像,并且由于其阴影影响,使用来自模拟SAR图像的阴影掩盖了RADARSAT SAR贴错标签的洪水范围。结果表明,该方法可以准确,半自动地从RADARSAT SAR中提取洪水范围。结果表明,该方法不仅适用于雷达卫星SAR图像,而且适用于其他具有不同成像方式的卫星SAR图像,尤其适用于山区的SAR图像。

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