Accuracy of Digital Elevation Models Derived From Terrestrial Laser Scanning Data
Accuracy of Digital Elevation Models Derived From Terrestrial Laser Scanning Data
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DOI：
10.1109/lgrs.2015.2438394
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发表时间：
2015-09-01
影响因子：
4.8
通讯作者：
Atkinson, Peter M.
中科院分区：
文献类型：
--
作者：
Fan, Lei;Atkinson, Peter M.
地面激光扫描(TLS)已成为获取源数据点的常用工具，可用于构建广泛应用的数字高程模型(DEM)。TLS点云通常具有很高的空间分辨率，可以很好地表示地形表面的空间变化。然而，从这种相对较新类型的源数据中产生的DEM中的不确定性并没有得到很好的理解，这构成了这封信的重点。利用代表4种不同地形特征的TLS测量数据，探讨了地表复杂性和典型TLS数据密度(以数据点间距表示)对DEM精度的影响。TLS数据的空间变化可以分解为对应于(地形表面)空间变化信号和由于测量误差而产生的噪声的部分。我们发现DEM误差与考虑的典型TLS数据间距(30-100 mm)之间存在线性关系，它是内插误差的函数，并且传播的数据噪声对DEM误差的贡献是恒定的。这封信量化了所考虑的四个曲面中的每个曲面的这些分量，并表明，对于这里考虑的插值法，更高的密度采样将是没有好处的。
Terrestrial laser scanning (TLS) has become a popular tool for acquiring source data points which can be used to construct digital elevation models (DEMs) for a wide number of applications. A TLS point cloud often has a very fine spatial resolution, which can represent well the spatial variation of a terrain surface. However, the uncertainty in DEMs created from this relatively new type of source data is not well understood, which forms the focus of this letter. TLS survey data representing four terrain surfaces of different characteristics were used to explore the effects of surface complexity and typical TLS data density (in terms of data point spacing) on DEM accuracy. The spatial variation in TLS data can be decomposed into parts corresponding to the signal of spatial variation (of terrain surfaces) and noise due to measurement error. We found a linear relation between the DEM error and the typical TLS data spacings considered (30-100 mm) which arises as a function of the interpolation error, and a constant contribution from the propagated data noise. This letter quantifies these components for each of the four surfaces considered and shows that, for the interpolation method considered here, higher density sampling would not be beneficial.