Підписатись
Filip Biljecki
Filip Biljecki
Assistant Professor, Urban Analytics Lab, National University of Singapore
Підтверджена електронна адреса в nus.edu.sg - Домашня сторінка
Назва
Посилання
Посилання
Рік
Applications of 3D city models: State of the art review
F Biljecki, J Stoter, H Ledoux, S Zlatanova, A Çöltekin
ISPRS International Journal of Geo-Information 4 (4), 2842-2889, 2015
9132015
An improved LOD specification for 3D building models
F Biljecki, H Ledoux, J Stoter
Computers, environment and urban systems 59, 25-37, 2016
5712016
Street view imagery in urban analytics and GIS: A review
F Biljecki, K Ito
Landscape and Urban Planning 215, 104217, 2021
5012021
Formalisation of the level of detail in 3D city modelling
F Biljecki, H Ledoux, J Stoter, J Zhao
Computers, Environment and Urban Systems 48, 1-15, 2014
2422014
Transportation mode-based segmentation and classification of movement trajectories
F Biljecki, H Ledoux, P van Oosterom
International Journal of Geographical Information Science 27 (2), 385-407, 2013
2222013
Generating 3D city models without elevation data
F Biljecki, H Ledoux, J Stoter
Computers, Environment and Urban Systems 64, 1-18, 2017
1722017
CityGML application domain extension (ADE): overview of developments
F Biljecki, K Kumar, C Nagel
Open Geospatial Data, Software and Standards 3, 1-17, 2018
1552018
Unsupervised machine learning in urban studies: A systematic review of applications
J Wang, F Biljecki
Cities 129, 103925, 2022
1382022
Assessing bikeability with street view imagery and computer vision
K Ito, F Biljecki
Transportation Research Part C: Emerging Technologies 132, 103371, 2021
1312021
Challenges of urban digital twins: A systematic review and a Delphi expert survey
B Lei, P Janssen, J Stoter, F Biljecki
Automation in Construction 147, 104716, 2023
1262023
A review of spatially-explicit GeoAI applications in Urban Geography
P Liu, F Biljecki
International Journal of Applied Earth Observation and Geoinformation 112 …, 2022
1142022
Classification of Urban Morphology with Deep Learning: Application on Urban Vitality
W Chen, AN Wu, F Biljecki
Computers, Environment and Urban Systems 90, 101706, 2021
1132021
Generative Adversarial Networks in the built environment: A comprehensive review of the application of GANs across data types and scales
AN Wu, R Stouffs, F Biljecki
Building and Environment 223, 109477, 2022
1082022
The variants of an LOD of a 3D building model and their influence on spatial analyses
F Biljecki, H Ledoux, J Stoter, G Vosselman
ISPRS Journal of Photogrammetry and Remote Sensing 116, 42-54, 2016
1082016
Extending CityGML for IFC-sourced 3D city models
F Biljecki, J Lim, J Crawford, D Moraru, H Tauscher, A Konde, K Adouane, ...
Automation in Construction 121, 103440, 2021
1002021
Generation of multi-LOD 3D city models in CityGML with the procedural modelling engine Random3Dcity
F Biljecki, H Ledoux, J Stoter
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 4 (W1), 51-59, 2016
952016
Level of detail in 3D city models
F Biljecki
Delft University of Technology, PhD thesis, 2017
932017
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
932016
Global building morphology indicators
F Biljecki, YS Chow
Computers, Environment and Urban Systems 95, 101809, 2022
922022
Achieving Complete and Near-Lossless Conversion from IFC to CityGML
R Stouffs, H Tauscher, F Biljecki
ISPRS International Journal of Geo-Information 7 (9), 355, 2018
922018
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