ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-2/W1, 1-6, 2013
https://doi.org/10.5194/isprsannals-II-2-W1-1-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
13 Sep 2013
TOWARDS AUTOMATIC VALIDATION AND HEALING OF CITYGML MODELS FOR GEOMETRIC AND SEMANTIC CONSISTENCY
N. Alam1, D. Wagner1, M. Wewetzer2, J. von Falkenhausen2, V. Coors1, and M. Pries2 1HFT Stuttgart,University of Applied Sciences, Faculty C, Schellingstraße 24, 70174 Stuttgart, Germany
2Beuth Hochschule für Technik Berlin, University of Applied Sciences, Department II, Luxemburger Straße 10, 13353 Berlin, Germany
Keywords: Healing, Validation, 3D City models, CityGML, Geosemantics Abstract. A steadily growing number of application fields for large 3D city models have emerged in recent years. Like in many other domains, data quality is recognized as a key factor for successful business. Quality management is mandatory in the production chain nowadays. Automated domain-specific tools are widely used for validation of business-critical data but still common standards defining correct geometric modeling are not precise enough to define a sound base for data validation of 3D city models. 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. Processing data sets with unclear specification leads to erroneous results and application defects. 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.
Conference paper (PDF, 1632 KB)


Citation: Alam, N., Wagner, D., Wewetzer, M., von Falkenhausen, J., Coors, V., and Pries, M.: TOWARDS AUTOMATIC VALIDATION AND HEALING OF CITYGML MODELS FOR GEOMETRIC AND SEMANTIC CONSISTENCY, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-2/W1, 1-6, https://doi.org/10.5194/isprsannals-II-2-W1-1-2013, 2013.

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