Abstract
The number of potential and existing application domains for 3D city models has increased during recent years. As the quality of city models varies, many data sets are not suitable for certain applications. The mere compliance with existing standards such as CityGML is not sufficient. A definition of data quality in a domain-specific context is necessary to validate data sets and to avoid erroneous results in down-stream applications. 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. We show that this problem persists even if data are standard compliant. Validation results of real-world city models are presented to demonstrate the potential of the approach. A tool to repair the errors detected during the validation process is under development; first results are presented and discussed. The goal is to heal defects of the models automatically and export a corrected CityGML model.
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Alam, N., Wagner, D., Wewetzer, M., von Falkenhausen, J., Coors, V., Pries, M. (2014). Towards Automatic Validation and Healing of CityGML Models for Geometric and Semantic Consistency. In: Isikdag, U. (eds) Innovations in 3D Geo-Information Sciences. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-00515-7_5
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DOI: https://doi.org/10.1007/978-3-319-00515-7_5
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