Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15652
Title: A hybrid interpolation method for the refinement of a regular grid digital elevation model
Authors: Shi, WZ 
Tian, Y
Keywords: Bi-cubic interpolation
Bilinear interpolation
DEM
Hybrid interpolation
Terrain complexity
Issue Date: 2006
Publisher: Taylor & Francis
Source: International journal of geographical information science, 2006, v. 20, no. 1, p. 53-67 How to cite?
Journal: International journal of geographical information science 
Abstract: A digital elevation model (DEM), which is used to represent a terrain surface, is normally constructed by applying an interpolation method on given sample elevation points. Interpolation methods can be classified into two classes: linear methods, which have a low time cost and are suitable for terrains where there is little change in elevation, and nonlinear methods, which normally consume comparatively more time and are more suitable for terrains where there are frequent changes in elevation. A hybrid interpolation method, which involves both a linear method and a nonlinear method of interpolation, is proposed in this paper. The proposed method aims to integrate the advantages of both linear and nonlinear interpolation methods for the refinement of regular grid DEM. Here, the bilinear is identified as the linear method, and the bi-cubic is taken to be the nonlinear interpolation method. The hybrid method is an integration of a linear model and nonlinear interpolation model with a parameter that defines the weights for each of the models. The parameter is dependent on the complexity of the terrain, for which a DEM is to be interpolated. The experimental results in this study demonstrate that the hybrid method is effective for interpolating DEMs for various types of terrain.
URI: http://hdl.handle.net/10397/15652
ISSN: 1365-8816
EISSN: 1362-3087
DOI: 10.1080/13658810500286943
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

18
Last Week
0
Last month
0
Citations as of Sep 11, 2017

WEB OF SCIENCETM
Citations

18
Last Week
0
Last month
0
Citations as of Sep 15, 2017

Page view(s)

32
Last Week
1
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.