Building height detection from high-resolution TerraSAR-X imagery and GIS data
Building height detection from high-resolution TerraSAR-X imagery and GIS data
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DOI：
10.1109/jurse.2013.6550659
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发表时间：
2013-04
期刊：
影响因子：
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通讯作者：
Wen Liu;F. Yamazaki
中科院分区：
文献类型：
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作者：
Wen Liu;F. Yamazaki
由于雷达传感器有了显著改进，现在可以获得高分辨率的合成孔径雷达图像，从而提供详细的地面信息。在这项研究中，开发了一种新的方法来检测建筑物高度自动使用2D GIS数据和一个单一的高分辨率TerraSAR-X（TSX）强度图像。由于SAR的侧视性质，SAR图像中的建筑物在传感器的方向上显示出从实际位置的停留。由于停留时间的长度与建筑物的高度成正比，因此可以用来估计建筑物的高度。为此，我们将从2D GIS数据中获得的建筑物形状向传感器的方向移动。所提出的方法进行了测试的TSX图像的旧金山弗朗西斯科，美国在HighSpot模式，使用约1米的分辨率。与激光雷达数据比较，均方根误差小于3米，约为一层楼的高度。
Due to the remarkable improvements that have been made in radar sensors, high-resolution SAR images are now available, thus providing detailed ground surface information. In this study, a new method is developed to detect building heights automatically using 2D GIS data and a single high-resolution TerraSAR-X (TSX) intensity image. A building in a SAR image shows a layover from the actual position in the direction of the sensor, due to the side-looking nature of SAR. Since the length of the layover is proportional to the height of the building, it can be used to estimate the building height. To do this, we shift the building shape obtained from 2D GIS data in the direction of the sensor. The proposed method was tested on a TSX image of San Francisco, U.S.A. in HighSpot mode, using a resolution of about 1 m. Comparing the result with that obtained using Lidar data, the RMS error was found to be less than 3 m, which is about the height of one building story.