Polyhedral Reconstruction of Advanced 3D Building Geometries by Data Fusion and Polygon Covering in Urban Areas
TL;DR
In this study, cadastral data is employed to automatically determine the number of building levels, utilizing datasets from the Spanish Virtual Cadastral Office for this determination, and the proposed reconstruction method successfully processes approximately 97% of OpenStreetMap building entities that include valid roof definitions.
Abstract
This paper presents several enhancements to the universal generation of realistic 3D urban scenes with detailed roof shapes, leveraging key data sources such as OpenStreetMap and Digital Terrain Models. The prior approach relied on core principles of 3D mesh generation, producing models compatible with various 3D rendering systems and game engines. In this study, cadastral data is employed to automatically determine the number of building levels, utilizing datasets from the Spanish Virtual Cadastral Office for this determination. The proposed reconstruction method successfully processes approximately 97% of OpenStreetMap building entities that include valid roof definitions. A polygon‐covering algorithm was implemented to generate volumetric models for buildings with complex footprints and representative roof shapes. In future work, the capacity of this algorithm and the quality of the terrain models can still be improved.