Abstract
In many domains, data quality is recognized as a key factor for successful business and quality management is a mandatory process in the production chain. Automated domain-specific tools are widely used for validation of business-critical data. Although the workflow for 3D city models is well-established from data acquisition to processing, analysis and visualization, quality management is not yet a standard during this workflow. Erroneous results and application defects are among the consequences of processing data with unclear specification. We show that this problem persists even if data are standard compliant and develop systematic rules for the validation of geometric-semantical consistency. A test implementation of the rule set and validation results of real-world city models are presented to demonstrate the potential of the approach.
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Notes
- 1.
Strategic Automotive Data Standards Industry Group—Product Data Quality.
- 2.
SIG-3D—GDI-DE; Special Interest Group 3D of the Geo Data Infrastructure Germany.
- 3.
Working Group of the surveying agencies of the federal states.
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Acknowledgments
The authors would like to thank the SIG-3D quality working group for fruitful discussion and the German Federal Ministry of Education and Research (BMBF) for funding of the project CityDoctor under provision number 17110B10.
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Wagner, D., Wewetzer, M., Bogdahn, J., Alam, N., Pries, M., Coors, V. (2013). Geometric-Semantical Consistency Validation of CityGML Models. In: Pouliot, J., Daniel, S., Hubert, F., Zamyadi, A. (eds) Progress and New Trends in 3D Geoinformation Sciences. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29793-9_10
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