Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19149
Title: An integrated TIN and Grid method for constructing multi-resolution digital terrain models
Authors: Yang, B
Shi, W 
Li, Q
Keywords: Grid
Multi-resolution model
TIN
Visualization
Issue Date: 2005
Publisher: Taylor & Francis
Source: International journal of geographical information science, 2005, v. 19, no. 10, p. 1019-1038 How to cite?
Journal: International journal of geographical information science 
Abstract: Multi-resolution terrain models are an efficient approach to improve the speed of three-dimensional (3D) visualizations, especially for terrain visualization in Geographical Information Systems (GIS). As a further development to existing algorithms and models, a new model is proposed for the construction of multi-resolution terrain models in a 3D GIS. The new model represents multi-resolution terrains using two major methods for terrain representation: Triangulated Irregular Network (TIN) and regular grid (Grid). In this paper, first, the concepts and formal definitions of the new model are presented. Second, the methodology for constructing multi-resolution terrain models based on the new model is proposed. Third, the error of multi-resolution terrain models is analysed, and a set of rules is proposed to retain the important features (e.g. boundaries of man-made objects) within the multi-resolution terrain models. Finally, several experiments are undertaken to test the performance of the new model. The experimental results demonstrate that the new model can be applied to construct multi-resolution terrain models with good performance in terms of time cost and maintenance of the important features. Furthermore, a comparison with previous algorithms/models shows that the speed of rendering for 3D walking/flying through has been greatly improved by applying the new model.
URI: http://hdl.handle.net/10397/19149
ISSN: 1365-8816
EISSN: 1362-3087
DOI: 10.1080/13658810500391156
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

25
Last Week
0
Last month
0
Citations as of Aug 14, 2017

WEB OF SCIENCETM
Citations

21
Last Week
0
Last month
0
Citations as of Aug 15, 2017

Page view(s)

44
Last Week
4
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



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