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Rapid Acquirement and Visualization of CityGML Documents

Authors: Lingli Zhao; Shuai Liu 0011; Junsheng Li; Haicheng Xu;

Rapid Acquirement and Visualization of CityGML Documents

Abstract

With the development of the Internet, the need of city 3D data is rising more and more, and the emphasis shifts from analysis to the sharing of city 3D data and information over the Internet. In Internet, we lack uniform 3D data standard and 3D data cannot be shared and exchanged availably. The city Geography Mark-Up Language (GML) was developed as the standard language for exchanging and sharing city 3D data in Internet. In this paper, we propose a set of data structures to obtain city 3D information from the GML file in order to extract useful information quickly, after analyzing CityGML files structure and parsing by the Document Object Model (DOM). The experiment shows that 3D data are extracted effectively, and visualized in Web application using Java, and the data structures defined in the paper are very validated.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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