Open AccessAutomated 3D Reconstruction of LoD2 and LoD1 Models for All 10 Million Buildings of the Netherlands
Author(s) -
Ravi Peters,
Balázs Dukai,
Stelios Vitalis,
Jordi van Liempt,
Jantien Stoter
Publication year - 2022
Publication title -
photogrammetric engineering and remote sensing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.483
H-Index - 127
eISSN - 2374-8079
pISSN - 0099-1112
DOI - 10.14358/pers.21-00032r2
Subject(s) - workflow , point cloud , computer science , process (computing) , data mining , cloud computing , database , point (geometry) , quality (philosophy) , artificial intelligence , mathematics , programming language , philosophy , geometry , epistemology , operating system
In this paper, we present our workflow to automatically reconstruct three-dimensional (3D) building models based on two-dimensional building polygons and a lidar point cloud. The workflow generates models at different levels of detail (LoDs) to support data requirements of different applications from one consistent source. Specific attention has been paid to make the workflow robust to quickly run a new iteration in case of improvements in an algorithm or in case new input data become available. The quality of the reconstructed data highly depends on the quality of the input data and is monitored in several steps of the process. A 3D viewer has been developed to view and download the openly available 3D data at different LoDs in different formats. The workflow has been applied to all 10 million buildings of the Netherlands. The 3D service will be updated after new input data becomes available.