Quality assessment of a nationwide data set containing automatically reconstructed 3d building models

Research output: Contribution to journalConference articleScientificpeer-review

4 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)17-24
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume46
Issue number4/W4-2021
DOIs
Publication statusPublished - 2021
Event16th 3D GeoInfo Conference 2021 - New York City, United States
Duration: 11 Oct 202114 Oct 2021

Keywords

  • 3D City Models
  • Building Reconstruction
  • Data Quality
  • Metrics
  • Netherlands
  • Open Data

Fingerprint

Dive into the research topics of 'Quality assessment of a nationwide data set containing automatically reconstructed 3d building models'. Together they form a unique fingerprint.

Cite this