Abstract
Interpolation method is used to construct regular grid DEM (Digital Elevation Model) based on discrete data. The key to DEM interpolation algorithm lies in the efficiency of data search around the points to be operated and the precision of DEM interpolation by selecting an appropriate interpolation function model. At present, the point by point interpolation is very common. Based on the comparison and analysis of characteristics and application scope of various DEM interpolation algorithms, this paper proposed a new interpolation model which combines distance-weighted average method and least squares fitting method. Results show that proposed method can improve search speed and interpolation accuracy remarkably and has good application value for large area.
Chapter PDF
Similar content being viewed by others
Keywords
References
Li, Z., Zhu, Q.: Digital Elevation Model, 2nd edn., pp. 6–7. Wuhan University Press, Wuhan (2003)
Twito, R.H., Mifflin, R.W., McGaughey, R.J.: MAP Program: Building the Digital Terrain Model. Pacific Northwest Research Station, US (2000)
Tang, G., Li, F., Liu, X.: Digital Elevation Model, 2nd edn., pp. 76–85. Science Press, Wuhan (2005)
Charleux Demargne, J., Puech, C.: Quality assessment for drainage networks and watershed boundaries extraction from a digital elevation model (DEM). In: Proceedings of the 8th ACM International Symposium on Advances in Geographic Information Systems, vol. 5, pp. 89–94 (2011)
Aguilar, F.J., Agüera, F., Aguilar, M.A., et al.: Effects of terrain morphology, sampling density, and interpolation methods on grid DEM accuracy. Photogrammetric Engineering & Remote Sensing 7, 805–816 (2005)
Heritage, G.L., Milan, D.J., Large, A.R.G., Fuller, I.C.: Influence of survey strategy and interpolation model on DEM quality. Geomorphology 112(3), 333–344 (2009)
Lazzaro, D., Montefusco, L.B.: Radial basis functions for the multivariate interpolation of large scattered data sets. Journal of Computational and Applied Mathematics 140(1–2), 521–536 (2002)
Li, J., Chen, C.S.: A simple efficient algorithm for interpolation between different grids in both 2D and 3D. Mathematics and Computers in Simulation 58(2), 125–132 (2002)
Pan, P., Wang, G., Zhang, H.: Study and practice of DEM generation. Journal of Zhengzhou Institute of Surveying and Mapping 24(1), 57–60 (2007)
Li, Y., Yang, W., Yang, R., et al.: Improvement of DEM interpolation algorithms based on moving surface fitting and distance-weighted. Map 33(4), 168–171 (2010)
Wang, J., Yang, X., Yao, J.: Integration of the two methods to interpolate grid DEM. Journal of Taiyuan University of Technology 5(39), 63–69 (2008)
Jie, H.U.: The study of DEM modeling method based on regular grid. Geomatics and Spatial Information Technology 35(11), 138–140 (2012)
Zhang, J., Guo, L., Zhang, X.: Effects of interpolation parameters in inverse distance weighted method on DEM accuracy. Journal of Geomatics Science and Technology 1, 51–56 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 IFIP International Federation for Information Processing
About this paper
Cite this paper
Wang, J., Xia, K., Chen, X. (2015). Research and Implementation of Modeling Grid DEM Based on Discrete Data. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture VIII. CCTA 2014. IFIP Advances in Information and Communication Technology, vol 452. Springer, Cham. https://doi.org/10.1007/978-3-319-19620-6_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-19620-6_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19619-0
Online ISBN: 978-3-319-19620-6
eBook Packages: Computer ScienceComputer Science (R0)