FROM DSM TO 3D BUILDING MODELS: A QUANTITATIVE EVALUATION

8 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. A 3d platform for energy data visualization of building assets C. Cecchini et al. 10.1088/1755-1315/296/1/012035
3. Potential of Pléiades and WorldView-3 Tri-Stereo DSMs to Represent Heights of Small Isolated Objects A. Loghin et al. 10.3390/s20092695
4. Where is photogrammetry heading to? State of the art and trends G. Forlani et al. 10.1007/s12210-015-0381-x
5. Automatic 3D building reconstruction from multi-view aerial images with deep learning D. Yu et al. 10.1016/j.isprsjprs.2020.11.011
6. Generating 3D city models without elevation data F. Biljecki et al. 10.1016/j.compenvurbsys.2017.01.001
7. 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
8. 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