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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-G-2025
https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1455-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1455-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
01 Aug 2025
| 01 Aug 2025
Automated Scan-vs-BIM Registration Using Columns Segmented by Deep Learning for Construction Progress Monitoring
Girma Zewdie Tsige
Earth Observation Science Department, ITC Faculty, University of Twente, 7522 NH Enschede, The Netherlands
Bashar Saleem Abbas Alsadik
Earth Observation Science Department, ITC Faculty, University of Twente, 7522 NH Enschede, The Netherlands
Sander Oude Elberink
Earth Observation Science Department, ITC Faculty, University of Twente, 7522 NH Enschede, The Netherlands
Maarten Bassier
Dept. of Civil Engineering, TC Construction- Geomatics KULeuven- Faculty of Engineering Technology Ghent, Belgium
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S. Nikoohemat, M. Peter, S. Oude Elberink, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 355–362, https://doi.org/10.5194/isprs-annals-IV-2-W4-355-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-355-2017, 2017
K. Velumani, S. Oude Elberink, M. Y. Yang, and F. Baret
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 149–156, https://doi.org/10.5194/isprs-annals-IV-2-W4-149-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-149-2017, 2017
T. Zhang, G. Vosselman, and S. J. Oude Elberink
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 193–198, https://doi.org/10.5194/isprs-annals-IV-2-W4-193-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-193-2017, 2017
F. Li, S. Oude Elberink, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 247–254, https://doi.org/10.5194/isprs-archives-XLII-2-W7-247-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-247-2017, 2017
M. Bassier, M. Vergauwen, and B. Van Genechten
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W2, 25–30, https://doi.org/10.5194/isprs-annals-IV-2-W2-25-2017, https://doi.org/10.5194/isprs-annals-IV-2-W2-25-2017, 2017
M. Bassier, M. Vergauwen, and B. Van Genechten
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-6, 49–55, https://doi.org/10.5194/isprs-annals-III-6-49-2016, https://doi.org/10.5194/isprs-annals-III-6-49-2016, 2016
P. Jende, Z. Hussnain, M. Peter, S. Oude Elberink, M. Gerke, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 19–26, https://doi.org/10.5194/isprs-archives-XL-3-W4-19-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-19-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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