Airborne Sensor; BIM; City Modeling; LiDAR; Photogrammetry; Surface Reconstruction; Air-borne sensors; Airborne Laser scanning; Building model; City model; Level-of-detail; Matchings; Point-clouds; Single source; Surfaces reconstruction; Information Systems; Geography, Planning and Development
Abstract :
[en] The demand for accurate, lightweight 3D building models is rapidly growing in urban analysis, digital twins, and geospatial information systems. Single-source airborne point clouds, such as airborne laser scanning (ALS) or dense image matching (DIM), often suffer from geometric incompleteness, uneven density, and misalignments, limiting the reliability of Level of Detail (LOD) building reconstructions. While substantial progress has been made in single-source building reconstruction and multi-source fusion, fully automated LOD generation pipelines that effectively exploit cross-source airborne data remain limited. This paper presents an automated workflow for generating precise LOD building models from cross-source fused point clouds, leveraging the precision of ALS and the high resolution of DIM to improve model fidelity. Using point clouds obtained from a slice-to-slice fusion approach, experiments on Luxembourg datasets demonstrate a reduced model standard deviation of 0.17m compared to 0.20m for ALS, 0.29m for DIM, and 0.27m for conventional ICP-based fused point clouds. The results show that our workflow, combined with a polygon fitting algorithm and cross-source fused data, significantly enhances building model accuracy and geometric completeness, highlighting the value of multi-source integration for automated 3D city modeling.
Disciplines :
Civil engineering
Author, co-author :
PARVAZ, Shahoriar ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Teferle, Felicia Norma ; Geodesy and Geospatial Engineering, Faculty of Science, Technology and Medicine, University of Luxembourg, Luxembourg, Luxembourg
Nurunnabi, Abdul ; Geodesy and Geospatial Engineering, Faculty of Science, Technology and Medicine, University of Luxembourg, Luxembourg, Luxembourg
External co-authors :
no
Language :
English
Title :
Towards Precise Building Models: LOD Generation from Airborne Multi-Source Point Clouds
Publication date :
31 December 2025
Event name :
3rd International Workshop on Evaluation and BENCHmarking of Sensors, Systems and GEOspatial Data in Photogrammetry and Remote Sensing (GEOBENCH)
Event place :
Wroclaw, Poland
Event date :
20-11-2025 => 21-11-2025
Audience :
International
Journal title :
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN :
1682-1750
eISSN :
2194-9034
Publisher :
International Society for Photogrammetry and Remote Sensing
FNR17042266 - DF4CM - Improved Airborne Data Fusion For Advancing Automated 3d City Modelling (Df4cm), 2022 (01/09/2022-31/08/2026) - Shahoriar Parvaz
Name of the research project :
DF4CM
Funders :
FNR - Luxembourg National Research Fund
Funding number :
17042266
Funding text :
This study is funded through Project No 17042266, DF4CM Reporting/22/IS, Luxembourg National Research Fund (FNR). We also thank the Administration du Cadastre et de la Topo graphie (ACT) for the airborne imagery and LiDAR datasets.
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