DocumentCode :
2731332
Title :
A New Seamless Multi-resolution Simplification Method for the Terrain Model
Author :
Zhang, Huijie ; Sun, Jigui ; Qi, Changsong ; Lv, Nan
Author_Institution :
Normal Univ., Changchun
fYear :
2007
fDate :
5-12 Nov. 2007
Firstpage :
39
Lastpage :
42
Abstract :
This paper presents a fast method to construct the simplified terrain model with the multi-resolution. In this method, we adopt the normal quad-tree hierarchy to subdivide the original terrain surface into the multi- resolution levels. For the sake of implementing the compressive storage and the efficient index for the elevation data, a connotative hierarchy is proposed and its corresponding index strategies are deduced. On the basis of the connotative hierarchy, we focus on resolving the crack problem of the simplified model. We firstly create the space filling curve during the simplification process to accelerate the search for the potential cracks. Afterwards, the different approaches are utilized to process the cracks in terms of the dissimilar terrain features. For this reason, we put forward an evaluation function that can selfadaptively identify the terrain feature according to the normal vector angle of the adjacent nodes in the connotative hierarchy. Consequently, there are not redundant triangles in our seamless multi-resolution terrain model. The proposed approaches are experimented on the real data and the results show that our method is relatively efficient and robust. Besides, the seamless simplified model has less number of triangles than the other common algorithm.
Keywords :
image resolution; quadtrees; terrain mapping; compressive storage; connotative hierarchy; normal quad-tree hierarchy; seamless multiresolution simplification method; seamless multiresolution terrain model; terrain features; Acceleration; Computer science; Conferences; Educational institutions; Filling; Intelligent agent; Multiresolution analysis; Robustness; Sun; Surface cracks; Model SimplificationQuad-tree HierarchyCracks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology Workshops, 2007 IEEE/WIC/ACM International Conferences on
Conference_Location :
Silicon Valley, CA
Print_ISBN :
0-7695-3028-1
Type :
conf
DOI :
10.1109/WI-IATW.2007.36
Filename :
4427535
Link To Document :
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