RESEARCH ARTICLE


DEM Reconstruction Based on Adaptive Local RBF



Ping Duan*, Yehua Sheng, Siyang Zhang, Haiyang Lv, Jia Li
Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing China, 210023, China


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Creative Commons License
© 2014 Duan et al;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Yehua Sheng is with Key Laboratory of Virtual Geographic Environment of Ministry of Education, NanJing Normal University, NanJing, China; Tel: 0086-025-85891879; E-mail: shengyehua@njnu.edu.cn


Abstract

As the core of digital elevation model, interpolation methods have been run through the each link, such as production, quality control, accuracy assessment, analytical applications and etc. The local radial basis function interpolation method based on spatial relationship of natural neighbor was proposed in this paper. The interpolation reference points were chosen by the Delaunay Triangulation. The first-order and second-order neighboring of interpolation points as the interpolation reference points were used to construct local radial basis function. This method was applied to the construction of digital elevation model, and the correspondent errors were analyzed. Experimental result shows that the method has a good effect on the construction of different landform.

Keywords: Adaptive, delaunay, DEM, error, interpolation, natural neighbor, radial basis function, triangulation.