Spatial Interpolation of Elevation Data With Variable Density: A New Methodology to Derive Quality DEMs
Spatial Interpolation of Elevation Data With Variable Density: A New Methodology to Derive Quality DEMs
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DOI：
10.1109/lgrs.2006.887055
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发表时间：
2007-01
影响因子：
4.8
通讯作者：
J. Hofierka;T. Cebecauer
中科院分区：
文献类型：
--
作者：
J. Hofierka;T. Cebecauer
提出了一种变密度高程数据空间插值的新方法。该方法是基于两步插值和数据处理，以尽量减少由可变数据密度引起的插值伪影。在第一步中，样条插值方法的参数化集中在需要更平滑插值的稀疏数据区域。然后，对这些区域中的结果表面进行随机采样以使原始数据集致密化。在第二步中，插值方法的参数化集中在具有所需高细节级别的区域。最终生成的表面包含针对不同数据密度和细节级别优化的表面属性
A new methodology for spatial interpolation of elevation data with variable density is proposed. The method is based on two-step interpolation and data processing to minimize interpolation artifacts caused by variable data density. In the first step, the parameterization of the spline interpolation method is focused on areas with sparse data that need smoother interpolation. Then, the resulting surface in these areas is randomly sampled to densify the original data set. In the second step, the parameterization of the interpolation method is focused on areas with a required high level of detail. The final resulting surface contains the properties of surfaces optimized for different data densities and levels of detail