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Proceedings Paper

Progressive transmission of road network
Author(s): Bo Ai; Tinghua Ai; Xinming Tang; Zhen Li
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Paper Abstract

The progressive transmission of vector map data requires efficient multi-scale data model to process the data into hierarchical structure. This paper presents such a data structure of road network without redundancy of geometry for progressive transmission. For a given scale, the road network display has to settle two questions. One is which road objects to be represented and the other is what geometric details to be visualized for the selected roads. This paper combines the Töpfer law and the BLG-tree structure into a multi-scale representation matrix to answer simultaneously the above two questions. In the matrix, rows from top to bottom represent the roads in the sequence of descending classification of traffic and length, which can support the Töpfer law to retrieve the more important roads. In a row, columns record one road by a linear BLG-tree to provide good line graphics.

Paper Details

Date Published: 15 October 2009
PDF: 8 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 749223 (15 October 2009); doi: 10.1117/12.838304
Show Author Affiliations
Bo Ai, Shandong Univ. of Science and Technology (China)
Tinghua Ai, Wuhan Univ. (China)
Xinming Tang, Chinese Academy of Surveying and Mapping (China)
Zhen Li, Shandong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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