ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume X-4/W2-2022
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4/W2-2022, 209–216, 2022
https://doi.org/10.5194/isprs-annals-X-4-W2-2022-209-2022
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4/W2-2022, 209–216, 2022
https://doi.org/10.5194/isprs-annals-X-4-W2-2022-209-2022
 
14 Oct 2022
14 Oct 2022

EXPLORING EXISTING 3D RECONSTRUCTION TOOLS FOR THE GENERATION OF 3D CITY MODELS AT VARIOUS LOD FROM A SINGLE DATA SOURCE

E. Muñumer Herrero1, C. Ellul1, and S. Cavazzi2 E. Muñumer Herrero et al.
  • 1Department of Civil, Environmental and Geomatic Engineering, University College London, UK
  • 2Ordnance Survey, Southampton, UK

Keywords: Point clouds, 3D reconstruction, 3D city model, 3D generalisation, level of detail, subsampling

Abstract. The use of three-dimensional (3D) city models has increased in a wide range of applications beyond visualisation. However, generation and maintenance of 3D data comes at a high cost, time, and workload. The purpose of the generalisation where coarser versions are obtained from a source data is of great interest for National Mapping and Cadastral Agencies (NMCA), which would benefit obtaining multiple 3D versions of an area from a single source. The main aim of the exploration presented in this paper is to study the potential of downsizing point clouds as an approach to generate 3D city models at multiple levels of detail from a single source and evaluate the steps required to ensure the output is fit for real world applications from an NMCA context. While interesting results are obtained when testing with sample data, no software managed to semi-automatically reconstruct 3D model for buildings of rather complicated geometry.