| International benchmarking of terrestrial laser scanning approaches for forest inventories X Liang, J Hyyppä, H Kaartinen, M Lehtomäki, J Pyörälä, N Pfeifer, ... ISPRS journal of photogrammetry and remote sensing 144, 137-179, 2018 | 358 | 2018 |
| Terrestrial structure from motion photogrammetry for deriving forest inventory data L Piermattei, W Karel, D Wang, M Wieser, M Mokroš, P Surový, M Koreň, ... Remote Sensing 11 (8), 950, 2019 | 115 | 2019 |
| LeWoS: A universal leaf‐wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR D Wang, S Momo Takoudjou, E Casella Methods in Ecology and Evolution 11 (3), 376-389, 2020 | 108 | 2020 |
| Unsupervised semantic and instance segmentation of forest point clouds D Wang ISPRS Journal of Photogrammetry and Remote Sensing 165, 86-97, 2020 | 81 | 2020 |
| Modeling Glacier Elevation Change from DEM Time Series D Wang, A Kääb Remote Sensing 7 (8), 10117-10142, 2015 | 64 | 2015 |
| Automatic and self-adaptive stem reconstruction in landslide-affected forests D Wang, M Hollaus, E Puttonen, N Pfeifer Remote Sensing 8 (12), 974, 2016 | 56 | 2016 |
| Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning B Brede, L Terryn, N Barbier, HM Bartholomeus, R Bartolo, K Calders, ... Remote Sensing of Environment 280, 113180, 2022 | 55 | 2022 |
| Separating tree photosynthetic and non-photosynthetic components from point cloud data using dynamic segment merging D Wang, J Brunner, Z Ma, H Lu, M Hollaus, Y Pang, N Pfeifer Forests 9 (5), 252, 2018 | 43 | 2018 |
| Individual tree crown segmentation of a larch plantation using airborne laser scanning data based on region growing and canopy morphology features Z Ma, Y Pang, D Wang, X Liang, B Chen, H Lu, H Weinacker, B Koch Remote Sensing 12 (7), 1078, 2020 | 42 | 2020 |
| Feasibility of machine learning methods for separating wood and leaf points from terrestrial laser scanning data D Wang, M Hollaus, N Pfeifer ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017 | 38 | 2017 |
| Reconstructing stem cross section shapes from terrestrial laser scanning D Wang, V Kankare, E Puttonen, M Hollaus, N Pfeifer IEEE Geoscience and Remote Sensing Letters 14 (2), 272-276, 2017 | 37 | 2017 |
| Kore n, M L Piermattei, W Karel, D Wang, M Wieser, M Mokroš, P Surový Tomaštík, J, 0 | 31 | |
| Evaluation of automated pipelines for tree and plot metric estimation from TLS data in tropical forest areas O Martin-Ducup, G Mofack, D Wang, P Raumonen, P Ploton, B Sonké, ... Annals of botany 128 (6), 753-766, 2021 | 26 | 2021 |
| Individual tree extraction from terrestrial laser scanning data via graph pathing D Wang, X Liang, GII Mofack, O Martin-Ducup Forest Ecosystems 8, 1-11, 2021 | 23 | 2021 |
| Fast and robust stem reconstruction in complex environments using terrestrial laser scanning D Wang, M Hollaus, E Puttonen, N Pfeifer The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 19 | 2016 |
| Tree extraction from airborne laser scanning data in urban areas H You, S Li, Y Xu, Z He, D Wang Remote Sensing 13 (17), 3428, 2021 | 17 | 2021 |
| Tree stem shapes derived from TLS data as an indicator for shallow landslides D Wang, M Hollaus, E Schmaltz, M Wieser, D Reifeltshammer, N Pfeifer Procedia Earth and Planetary Science 16, 185-194, 2016 | 13 | 2016 |
| Classification of image matching point clouds over an urban area THG Tran, J Otepka, D Wang, N Pfeifer International journal of remote sensing 39 (12), 4145-4169, 2018 | 10 | 2018 |
| Evaluation of shallow landslides in the Northern Walgau (Austria) using morphometric analysis techniques E Schmaltz, S Steger, R Bell, T Glade, R van Beek, T Bogaard, D Wang, ... Procedia Earth and Planetary Science 16, 177-184, 2016 | 10 | 2016 |
| Direct estimation of photon recollision probability using terrestrial laser scanning D Wang, D Schraik, A Hovi, M Rautiainen Remote Sensing of Environment 247, 111932, 2020 | 7 | 2020 |
Norbert PfeiferProfessor of Photogrammetry, TU Wien, Department of Geodesy and Geoinformation在 tuwien.ac.at 的电子邮件经过验证
