I'm a postdoctoral researcher from the Remote Sensing Research Team at Aalto University, Finland. I obtained my PhD from Technische Universität Wien (Austria) in 2018, supervised by Prof. Norbert Pfeifer. I got my B.Eng. (2012) and M.Sc. (2014) in Photogrammetry and Geomatics from Wuhan University (China) and University of Oslo (Norway), respectively.
Learn about my researchPoint cloud manipulation and modelling with photogrammetry, computer vision, computer graphics and machine learning methods for environmental applications.
Fine scale and large area forest structure remeasurements and modelling with terrestrial/UAV/Airborne LiDAR techniques.
Wang, D., Schraik, D., Hovi, A., Rautiainen, M. (2020). Direct Estimation of Photon Recollision Probability using Terrestrial Laser Scanning, Remote Sensing of Environment, Accept
Wang, D. (2020). Unsupervised semantic and instance segmentation of forest point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 165; 86-97.
Wang, D., Momo Takoudjou, S. and Casella, E. (2020). LeWoS: A Universal Leaf‐wood Classification Method to Facilitate the 3D Modelling of Large Tropical Trees Using Terrestrial LiDAR. Methods in Ecology and Evolution. 11(3): 376–389.
Ma, Z., Pang, Y., Wang, D., Liang, X., Chen, B., Lu, H., ... & Koch, B. (2020). Individual Tree Crown Segmentation of a Larch Plantation Using Airborne Laser Scanning Data Based on Region Growing and Canopy Morphology Features. Remote Sensing, 12(7), 1078.
Piermattei L., Karel W., Wang, D., Wieser M., Mokroš M., Koreň M., Tomaštík J., Surový P., Pfeifer N., Hollaus M. (2019). Terrestrial Structure from Motion Photogrammetry for Deriving Forest Inventory Data, Remote Sensing, 11(8), 950.
卢昊, 庞勇, 李增元, 王迪, 陈博伟, 马振宇. (2019). 全波形机载激光雷达绝对辐射标定与不确定性分析 (Uncertainty Analysis on the Absolute Radiometric Calibration of Full Waveform Airborne LiDAR), 遥感学报, 接收.
Bruggisser, M., Hollaus, M., Wang, D., Pfeifer, N. (2019. Adaptive Framework for the Delineation of Homogeneous Forest Areas Based on LiDAR Points. Remote Sensing, 11(2), 189.
Wang, D., Brunner, J., Ma, Z., Lu, H., Hollaus, M., Pang, Y., Pfeifer, N. (2018). Separating Tree Photosynthetic and Non-photosynthetic Components from Point Cloud Data using Dynamic Segment Merging, Forests, 9, 5; 252-1 - 252-23.
Tran, T.H.G., Otepka, J., Wang, D., Pfeifer, N. (2018). Classification of Image Matching Point Clouds Over an Urban Area, International Journal of Remote Sensing, 39, 12; 4154 - 4169.
Liang, X., Hyyppä, J., Kaartinen, H., Lehtomäki, M., Pyörälä, J., Pfeifer, N., Holopainen, M., Brolly, G., Francesco, P., Hackenberg, J., Huang, H., Jo, H.W., Katoh, M., Liu, L., Mokroš, M., Morel, J., Olofsson, K., Poveda-Lopez, J., Trochta, J., Wang, D., Wang, J., Xi, Z., Yang, B., Zheng, G., Kankare, V., Luoma, V., Yu, X., Chen, L., Vastaranta, M., Saarinen, N., Wang, Y. (2018). International Benchmarking of Terrestrial Laser Scanning Approaches for Forest Inventories, ISPRS Journal of Photogrammetry and Remote Sensing, 144; 137-179.
Wang, D., Kankare, V., Puttonen, E., Hollaus, M., Pfeifer, N. (2017). Reconstructing Stem Cross Section Shapes from Terrestrial Laser Scanning. IEEE Geoscience and Remote Sensing Letter, 14(2), pp.272-276.
Wang, D., Hollaus, M., Pfeifer, N. (2017). Feasibility of Machine Learning Methods for Separating Wood and Leaf Points from Terrestrial Laser Scanning Data, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W4, 157-164.
Wang, D., Hollaus, M., Puttonen, E., Pfeifer, N. (2016).Automatic and Self-adaptive Stem Reconstruction in Landslide-affected Forests. Remote Sensing, 8(12), 974.
Wang, D., Hollaus, M., Puttonen, E., Pfeifer, N. (2016). Fast and Robust Stem Reconstruction in Complex Environments Using Terrestrial Laser Scanning. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B3, ISSN: 1682-1750; 411 - 417.
Schmaltz, E., Steger, S., Bell, R., Glade, T., van Beek, L.P.H., Bogaard, T., Wang,D.,Hollaus, M., Pfeifer, N. (2016). Exploring Possibilities of Including Detailed ALS Derived Biomass Information into Physically-based Slope Stability Models at Regional scale. In: Landslides and Engineered Slopes. Experience, Theory and Practice: 1807-1815.
Wang, D., Hollaus, M., Schmaltz, E., Wieser, M., Reifeltshammer, D. and Pfeifer, N. (2016). Tree Stem Shapes Derived from TLS Data as an Indicator for Shallow Landslides. Procedia Earth and Planetary Science, 16, pp.185-194.
Schmaltz, E., Steger, S., Bell, R., Glade, T., van Beek, R., Bogaard, T., Wang, D., Hollaus, M. and Pfeifer, N. (2016). Evaluation of Shallow Landslides in the Northern Walgau (Austria) Using Morphometric Analysis Techniques. Procedia Earth and Planetary Science, 16, pp.177-184.
Wang, D., Kääb, A. (2015). Modeling Glacier Elevation Change from DEM Time Series. Remote Sensing, 7(8); 10117-10142.
秦家鑫, 万幼川, 王迪, 何培培, 陈茂霖. (2014). 基于Otsu的建筑物点云分割改进算法 (Improved Algorithm of Building Point Cloud Segmentation Based on Otsu), 地理空间信息, 1; 110-113.
Find me at ...
Room 302c, Otakaari 4, 02150 Espoo, Finland.
Email me ...
di.wang@aalto.fi