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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B2-2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-359-2022
© Author(s) 2022. 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-XLIII-B2-2022-359-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 May 2022
| 30 May 2022
DEEP LEARNING FOR 3D BUILDING RECONSTRUCTION: A REVIEW
M. Buyukdemircioglu
Hacettepe University, Graduate School of Science and Engineering, Ankara, Turkey
Hacettepe University, Department of Geomatics Engineering, Ankara, Turkey
Technische Universität Berlin, Institute of Geodesy and Geoinformation Science, Berlin, Germany
S. Kocaman
Hacettepe University, Department of Geomatics Engineering, Ankara, Turkey
ETH Zurich, Institute of Geodesy and Photogrammetry, 8093 Zurich, Switzerland
M. Kada
Technische Universität Berlin, Institute of Geodesy and Geoinformation Science, Berlin, Germany
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