Quality assessment of a nationwide data set containing automatically reconstructed 3d building models
Balázs Dukai (TU Delft - Urban Data Science, TU Delft - Urbanism)
R.Y. Peters (TU Delft - Urbanism, TU Delft - Urban Data Science)
S. Vitalis (TU Delft - Urban Data Science, TU Delft - Urbanism)
J.N.H. van Liempt (TU Delft - Urban Data Science)
J. Stoter (TU Delft - Urbanism, TU Delft - Urban Data Science)
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Abstract
Fully automated reconstruction of high-detail building models on a national scale is challenging. It raises a set of problems that are seldom found when processing smaller areas, single cities. Often there is no reference, ground truth available to evaluate the quality of the reconstructed models. Therefore, only relative quality metrics are computed, comparing the models to the source data sets. In the paper we present a set of relative quality metrics that we use for assessing the quality of 3D building models, that were reconstructed in a fully automated process, in Levels of Detail 1.2, 1.3, 2.2 for the whole of the Netherlands. The source data sets for the reconstruction are the Dutch Building and Address Register (BAG) and the National Height Model (AHN). The quality assessment is done by comparing the building models to these two data sources. The work presented in this paper lays the foundation for future research on the quality control and management of automated building reconstruction. Additionally, it serves as an important step in our ongoing effort for a fully automated building reconstruction method of high-detail, high-quality models.
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