Dayu Yu

Dayu Yu

Assitant Professfor

Nanjing Normal University


3D GIS

GIService

Virtual Geographic Environment

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Welcome

Dr. Yu is currently an Assistant Professor in the School of Geography at Nanjing Normal University. His research primarily focuses on 3D GIS, Virtual Geographic Environments, 3D City Modeling, and Geographic Information Services. His work specifically addresses challenges related to geographic modeling and simulation in the context of 3D GIS.

Dr. Yu has studied at renowned institutions such as the School of Remote Sensing Information Engineering at Wuhan University, the Urban Analysis Lab at National University of Singapore. He has published numerous papers in top-tier journals, including IJGIS, JAG, and NHESS, and has been invited to deliver lectures on 3D GIS, geographic modeling, and virtual geographic environments. He maintains strong collaborative relationships with several governmental organizations and leading industry enterprises. As a key researcher, he contributed to development the development of the Open Geospatial Engine, a cloud-native geospatial analysis platform. Additionally, he contributed to the development of the OGC TrainingDML specification and has participated in the formulation of several National Standards of China. Currently, he is a member of the OpenGMS team.


News

  • Participated in drafting two Chinese National Standards on Geographic Information — Digital Data and Metadata Preservation (Part 1 and Part 2), which were officially released.
  • Awarded the National Natural Science Foundation of China (NSFC) Young Scientists Fund (Category C) for the project High-Fidelity Lightweight Methods for Non-Manifold Real-Scene 3D Models (PI, 300,000 RMB).
  • Awarded the Jiangsu Provincial Natural Science Foundation Young Scientists Fund for the project LOD2 3D Building Reconstruction from Single-View Remote Sensing Imagery (PI, 200,000 RMB).
  • Joined Nanjing Normal University as an Assistant Professor
  • Selected as a Chinese Expert of ISO/TC 211 (Geographic Information/Geomatics).
  • Successfully defended my PhD thesis titled Lightweight Generation and Service Methods for Photo-Realistic 3D Building Models
  • Received scholarship from China Scholarship Council to visit NUS UAL china->1620 1620
  • Top Prize of Science and Technology Progress in Surveying and Mapping, Granted by Chinese Society for Geodesy, Photogrammetry and Cartography china
  • Selected for the 24th Wang Zhi Zhuo Innovation Talent Award
  • Selected for the Academic Innovation Award of Wuhan University     time Older news…

RooFormer: Reconstructing detailed 3D roof models from high-resolution remote sensing imagery using transformer

we developed a an end-to-end learning framework for reconstructing detailed and textured 3D roof models in mesh format from high-resolution imagery.

Dayu Yu, Fan Ye, Peng Yue, Min Chen, Min Chen, Filip Biljecki ISPRS Journal of Photogrammetry and Remote Sensing, 227(2025): 745-758, 2025
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Towards an integrated approach for managing and streaming 3D spatial data at the component level in spatial data infrastructures

we developed a generic conceptual model suitable for component-level management of diverse 3D spatial data in SDIs and discussed the design rationales and key considerations underlying the model.

Dayu Yu, Peng Yue, Binwen Wu, Filip Biljecki, Min Chen, Luancheng Lu International Journal of Geographical Information Science, 39(4): 847-871, 2025
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Bidirectionally Greedy Framework for Unsupervised 3D Building Extraction from Airborne-based 3D Meshes

We prpoased a novel bidirectionally greedy framework to extract fine-grained 3D building models from photo-realistic 3D meshes in an unsupervised manner.

Dayu Yu, Peng Yue, Fan Ye, Deodato Tapete & Zheheng Liang Automation in Construction, 52: 104917, 2023
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Unsupervised Ground Filtering of Airborne-based 3D Meshes Using a Robust Cloth Simulation

We propose a robust cloth simulation method for filtering ground primitives from photo-realistic 3D meshes. The method can accurately decompose the realistic 3D meshes into the 3D ground and non-ground 3D model, and it is robust for different landscapes and is not impacted by vertex density and noise.

Dayu Yu, Lianlian He, Fan Ye, Liangcun Jiang, Chenxiao Zhang, Zhe Fang & Zheheng LiangInternational Journal of Applied Earth Observation and Geoinformation, 111: 102820, 2022
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A Virtual Geographic Environment for Dynamic Simulation and Analysis of Tailings Dam Failure

Building upon the physical properties of tailings flow, we developed a VGE platform for dam failure disaster evolution simulation, which can simulate and predicts the route and disaster-causing range of tailings after a failure, and visualize the results in a three-dimensional, dynamic and interactive manner.

Dayu Yu, Liyu Tang, Fan Ye, & Chongcheng ChenInternational Journal of Digital Earth, 14(9): 1194-1212, 2021
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Get in Touch

Please do not hesitate to reach out if you have an interesting idea for collaboration, have some research opportunity to share, or would like to discuss some ideas. I have a broad interest in all things 3D GIS, not limited to, 3D City Modelling, 3D Geographic Information Services, Virtualized Geographical Environment, 3D Visualization, and 3D Spatial Data Infrastructure. Looking forward to connecting and hearing from you!

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