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GAO Yuan, ZHU Yanan, CHEN Chuanfa, HU Zhanzhan, HU Baojian. A Weighted Radial Basis Function Interpolation Method for High Accuracy DEM Modeling[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210100
Citation: GAO Yuan, ZHU Yanan, CHEN Chuanfa, HU Zhanzhan, HU Baojian. A Weighted Radial Basis Function Interpolation Method for High Accuracy DEM Modeling[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210100

A Weighted Radial Basis Function Interpolation Method for High Accuracy DEM Modeling

doi: 10.13203/j.whugis20210100
Funds:

National Natural Science Foundation of China, No. 41804001

  • Received Date: 2021-09-03
  • Objectives: In the process of digital elevation model (DEM) modeling, the existing interpolation methods do not take into account the local topographic characteristics near the breaklines, which makes the elevation of the local area of the breakline smoothed, thus leading to topographic distortion. Methods: A weight function with respect to considering the characteristics of breaklines is constructed, and a weight radial basis function (RBF) method is proposed. The new method makes full use of the gradient and direction information of the sampling points near the fracture line. First, the distance between the sampling point and the point to be sought is calculated adaptively by capturing the structure tensor of each sampling point, and then the distance is used to assign a suitable weight to each sampling point, and finally the DEM modeling is realized by using weighted interpolation. Results: Real-world examples on 10 public and 1 private dataset of DEM construction with airborne LiDAR point clouds indicates that (1) the calculation results of each interpolation method gradually decrease with the decrease of sampling points. (2) Compared to RBF and the classical interpolation methods including inverse distance weighting(IDW), ordinary Kriging(OK) and constrained triangulated irregular network (TIN), our method has a better ability to maintain terriain features in the breakline area. Regardless of sample density, our method is always more accurate than the other methods. Conclusions: Overall, the proposed method with the merit of terrain feature preservation is helpful for the construction of high-accurate DEMs, which play an important role in some geoscience applications with data quality as the most important factor.
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A Weighted Radial Basis Function Interpolation Method for High Accuracy DEM Modeling

doi: 10.13203/j.whugis20210100
Funds:

National Natural Science Foundation of China, No. 41804001

Abstract: Objectives: In the process of digital elevation model (DEM) modeling, the existing interpolation methods do not take into account the local topographic characteristics near the breaklines, which makes the elevation of the local area of the breakline smoothed, thus leading to topographic distortion. Methods: A weight function with respect to considering the characteristics of breaklines is constructed, and a weight radial basis function (RBF) method is proposed. The new method makes full use of the gradient and direction information of the sampling points near the fracture line. First, the distance between the sampling point and the point to be sought is calculated adaptively by capturing the structure tensor of each sampling point, and then the distance is used to assign a suitable weight to each sampling point, and finally the DEM modeling is realized by using weighted interpolation. Results: Real-world examples on 10 public and 1 private dataset of DEM construction with airborne LiDAR point clouds indicates that (1) the calculation results of each interpolation method gradually decrease with the decrease of sampling points. (2) Compared to RBF and the classical interpolation methods including inverse distance weighting(IDW), ordinary Kriging(OK) and constrained triangulated irregular network (TIN), our method has a better ability to maintain terriain features in the breakline area. Regardless of sample density, our method is always more accurate than the other methods. Conclusions: Overall, the proposed method with the merit of terrain feature preservation is helpful for the construction of high-accurate DEMs, which play an important role in some geoscience applications with data quality as the most important factor.

GAO Yuan, ZHU Yanan, CHEN Chuanfa, HU Zhanzhan, HU Baojian. A Weighted Radial Basis Function Interpolation Method for High Accuracy DEM Modeling[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210100
Citation: GAO Yuan, ZHU Yanan, CHEN Chuanfa, HU Zhanzhan, HU Baojian. A Weighted Radial Basis Function Interpolation Method for High Accuracy DEM Modeling[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20210100
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