| Population estimation using a 3D city model: A multi-scale country-wide study in the Netherlands F Biljecki, K Arroyo Ohori, H Ledoux, R Peters, J Stoter PloS one 11 (6), e0156808, 2016 | 94 | 2016 |
| Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands R Peters, B Dukai, S Vitalis, J van Liempt, J Stoter Photogrammetric Engineering & Remote Sensing 88 (3), 165-170, 2022 | 87 | 2022 |
| City3D: Large-scale building reconstruction from airborne LiDAR point clouds J Huang, J Stoter, R Peters, L Nan Remote Sensing 14 (9), 2254, 2022 | 74 | 2022 |
| 3dfier: automatic reconstruction of 3D city models H Ledoux, F Biljecki, B Dukai, K Kumar, RY Peters, JE Stoter, ... Journal of Open Source Software 6 (57), 2866, 2021 | 63 | 2021 |
| Building outline extraction from ALS point clouds using medial axis transform descriptors E Widyaningrum, RY Peters, RC Lindenbergh Pattern Recognition 106, 107447, 2020 | 41 | 2020 |
| Automated reconstruction of 3D input data for noise simulation J Stoter, R Peters, T Commandeur, B Dukai, K Kumar, H Ledoux Computers, Environment and Urban Systems 80, 101424, 2020 | 35 | 2020 |
| A Voronoi-based approach to generating depth-contours for hydrographic charts R Peters, H Ledoux, M Meijers Marine Geodesy 37 (2), 145-166, 2014 | 30 | 2014 |
| PSSNet: Planarity-sensible semantic segmentation of large-scale urban meshes GAO Weixiao, L Nan, B Boom, H Ledoux ISPRS Journal of Photogrammetry and Remote Sensing 196, 32-44, 2023 | 28* | 2023 |
| Visibility Analysis in a Point Cloud Based on the Medial Axis Transform. R Peters, H Ledoux, F Biljecki UDMV, 7-12, 2015 | 24 | 2015 |
| Robust approximation of the Medial Axis Transform of LiDAR point clouds as a tool for visualisation R Peters, H Ledoux Computers & Geosciences 90, 123-133, 2016 | 21 | 2016 |
| Hydromorphological analysis and water balance modelling of ombro-and mesotrophic peatlands F Edom, A Münch, I Dittrich, K Keßler, R Peters Advances in Geosciences 27, 131-137, 2010 | 20 | 2010 |
| Generating, storing, updating and disseminating a countrywide 3D model B Dukai, R Peters, T Wu, T Commandeur, H Ledoux, T Baving, M Post, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 19 | 2020 |
| Extracting coastal water depths from multi-temporal sentinel-2 images using convolutional neural networks Y Lumban-Gaol, KA Ohori, R Peters Marine Geodesy 45 (6), 615-644, 2022 | 16 | 2022 |
| Satellite-derived bathymetry using convolutional neural networks and multispectral sentinel-2 images YA Lumban-Gaol, KA Ohori, RY Peters The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021 | 15 | 2021 |
| Automatic identification of watercourses in flat and engineered landscapes by computing the skeleton of a LiDAR point cloud T Broersen, R Peters, H Ledoux Computers & Geosciences 106, 171-180, 2017 | 15 | 2017 |
| Automatic extraction of a navigation graph intended for IndoorGML from an indoor point cloud P Flikweert, R Peters, L Díaz-Vilariño, R Voûte, B Staats ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019 | 14 | 2019 |
| Geographical point cloud modelling with the 3D medial axis transform R Peters | 13 | 2018 |
| Quality assessment of a nationwide data set containing automatically reconstructed 3D building models B Dukai, R Peters, S Vitalis, J Van Liempt, J Stoter International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021 | 10 | 2021 |
| Generation and generalization of safe depth-contours for hydrographic charts using a surface-based approach RY Peters, H Ledoux, BM Meijers Proceedings of the 16th Workshop of the ICA Commission on Generalisation and …, 2013 | 7 | 2013 |
| A Voronoi-and surface-based approach for the automatic generation of depth-contours for hydrographic charts RY Peters | 7 | 2012 |
