DocumentCode :
2705357
Title :
Topology constrain for river dimension-reducing generalization in land-use map
Author :
Jiang, Baode ; Xie, Zhong ; Wu, Xincai ; Wu, Liang ; Zhou, Lin
Author_Institution :
Fac. of Inf. Eng., China Univ. of Geosci., Wuhan, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
4
Abstract :
Topological consistency which plays an important role in land-use map is a difficult problem for map auto generalization. This paper concentrates on the topological preserving of river´s dimension-reducing generalization in the land-use map. We propose a method for handling the conflicting constraints involved in generalizing a river polygon (double-line river) into a single-line river. It includes mainly two steps: First, extract the medial axis as a centerline for river polygon base on the constrained delaunay triangulation model. Then, expand the polygons´ boundaries which are shared by the double-line river´s bank towards the collapsed river´s centerlines base on the topology and computational geometry. Experiments are tested against land-use maps at 1:10k scale. The results illustrate that this method can keep the topological constraint well for river dimension-reducing generalization in land-use map.
Keywords :
computational geometry; geomorphology; geophysical techniques; geophysics computing; mesh generation; rivers; topology; constrained delaunay triangulation model; double line river; land use mapping; map autogeneralization; medial axis extraction; polygon boundary expansion; river dimension reducing generalization; river polygon generalisation; single line river; topological consistency; topological preservation; topology constraints; Algorithm design and analysis; Computational geometry; Feature extraction; Rivers; Skeleton; Spatial databases; Topology; dimension-reducing processing; land-use map; map auto generalization; topology constrain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980668
Filename :
5980668
Link To Document :
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