FROM DSM TO 3D BUILDING MODELS: A QUANTITATIVE EVALUATION

10 citations as recorded by crossref.

1. Automatic façade modelling using point cloud data for energy-efficient retrofitting M. Previtali et al. 10.1007/s12518-014-0129-9
2. Three-Dimensional Wireframe Reconstruction for Non-Manhattan-Shaped Point Clouds T. Chuang et al. 10.1061/JCCEE5.CPENG-5965
3. LOD1 3D city model from LiDAR: The impact of segmentation accuracy on quality of urban 3D modeling and morphology extraction F. Chajaei & H. Bagheri 10.1016/j.rsase.2025.101534
4. A 3d platform for energy data visualization of building assets C. Cecchini et al. 10.1088/1755-1315/296/1/012035
5. Automatic Building Roof Plane Extraction in Urban Environments for 3D City Modelling Using Remote Sensing Data C. Campoverde et al. 10.3390/rs16081386
6. Where is photogrammetry heading to? State of the art and trends G. Forlani et al. 10.1007/s12210-015-0381-x
7. Automatic 3D building reconstruction from multi-view aerial images with deep learning D. Yu et al. 10.1016/j.isprsjprs.2020.11.011
8. Generating 3D city models without elevation data F. Biljecki et al. 10.1016/j.compenvurbsys.2017.01.001
9. Creating 3D city models with building footprints and LIDAR point cloud classification: A machine learning approach Y. Park & J. Guldmann 10.1016/j.compenvurbsys.2019.01.004
10. Radiometric and geometric evaluation of GeoEye-1, WorldView-2 and Pléiades-1A stereo images for 3D information extraction D. Poli et al. 10.1016/j.isprsjprs.2014.04.007