RAISE THE ROOF: TOWARDS GENERATING LOD2 MODELS WITHOUT AERIAL SURVEYS USING MACHINE LEARNING

8 citations as recorded by crossref.

1. Assessment of 3D Geoportals of Cities According to CityGML Standard Guidelines K. Maciąg & P. Leń
2. Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction B. Vaienti et al.
3. Implementation of BIM Data in CityGML—Research and Perspectives for Creating a QGIS Plugin for Spatial Analysis: Experience from Poland D. Janisio-Pawłowska & W. Pawłowski
4. A deep dive into OpenStreetMap research since its inception (2008–2024): contributors, topics, and future trends Y. Sun et al.
5. Open-Source Tool for Transforming CityGML Levels of Detail A. Malhotra et al.
6. Building Function Recognition Using the Semi-Supervised Classification X. Xie et al.
7. Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds A. Murtiyoso et al.
8. Deep learning aided web-based procedural modelling of LOD2 city models Z. Usta et al.