Abstract
Abstract. The objective of our study is the evaluation of the 3D modeling of buildings and the extraction of structural elements from point clouds obtained using two acquisition techniques (drone and terrestrial laser scanner), as well as the evaluation of the usefulness of their integration. The drone shooting mission was carried using the DJI Phantom 3 Professional and the Sony EXMOR 1/2.3" CMOS RGB camera. For the TLS scanning mission, 9 scanning stations were performed using the FARO Focus S350 laser scanner.To allow the fusion of the two point clouds obtained from drone imagery and TLS, an alignment step is applied. This step was performed using the Iterative Closest Point algorithm. Segmentation was performed using the adapted RANSAC algorithm on point clouds obtained from the drone mission and the TLS mission as well as on the merged point cloud in order to extract structural elements of the building such as windows, doors and stairs. Analysis of the results emphasizes the importance of TLS and drone in 3D modeling. TLS gave better results than the drone in extracting structural elements. This work confirms the importance of complementarity between these two technologies to produce detailed, complete and precise 3D models.
Highlights
Three-dimensional models of buildings represent important data sources for many applications
The main objective of this project is to evaluate the 3D modeling of a building and the extraction of structural elements from point clouds obtained from drone RGB images and Terrestrial Laser Scanner (TLS)
For example for the doors and the stairs of the entrance which have a simple planar geometry we obtain a visual improvement in comparison with the two source point clouds, but we find a difficulty in identifying the side windows since they have a complex curved geometry
Summary
Three-dimensional models of buildings represent important data sources for many applications. The efficient generation of this kind of models enables the enrichment of digital library content on buildings and infrastructure and provides managers with valuable visualization and decision support tools. In recent years, advanced technologies have made it possible to create precise and detailed 3D models to represent buildings as built. The images acquired by drones are used to achieve very high levels of detail in 3D models. This use allows the reconstruction of the geometry and the texture of the studied objects (Drešček et al, 2020; Achille et al, 2015; Chen et al, 2019). The quality of the 3D data generated strongly depends on the characteristics of the sensors used, the design of the photogrammetric network and the image orientation results
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