Automatic quality assessment of terrestrial laser scans
Author:
Affiliation:
1. Geodetic Institute Hannover, Leibniz Universität , Hannover , Germany
2. Institute of Photogrammetry and GeoInformation, Leibniz Universität , Hannover , Germany
Abstract
Funder
Zentrales Innovationsprogramm Mittelstand (ZIM) des BMWi
Publisher
Walter de Gruyter GmbH
Subject
Earth and Planetary Sciences (miscellaneous),Engineering (miscellaneous),Modeling and Simulation
Link
https://www.degruyter.com/document/doi/10.1515/jag-2022-0030/pdf
Reference49 articles.
1. Schweitzer, J, Schwieger, V. Modeling of quality for engineering geodesy processes in civil engineering. J Appl Geodesy 2011;5:13–22. https://doi.org/10.1515/jag.2011.002.
2. Kalenjuk, S, Lienhart, W. A method for efficient quality control and enhancement of mobile laser scanning data. Rem Sens 2022;14:857. https://doi.org/10.3390/rs14040857.
3. O’Banion, M. Rigorous 3D point cloud quality assessment [Ph.D. thesis]. Oregon State University; 2017.
4. Adan, A, Huber, D. 3d reconstruction of interior wall surfaces under occlusion and clutter. In: 2011 international conference on 3D imaging, modeling, processing, visualization and transmission (3DIMPVT 2011). Piscataway, NJ: IEEE; 2011:275–81 pp.
5. Alsadik, B, Gerke, M, Vosselman, G. Visibility analysis of point cloud in close range photogrammetry. ISPRS Ann Photogramm Remote Sens Spat Inf Sci 2014;II–5:9–16. https://doi.org/10.5194/isprsannals-ii-5-9-2014.
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