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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume IV-2/W2
https://doi.org/10.5194/isprs-annals-IV-2-W2-25-2017
© Author(s) 2017. 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-annals-IV-2-W2-25-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
16 Aug 2017
| 16 Aug 2017
AUTOMATED CLASSIFICATION OF HERITAGE BUILDINGS FOR AS-BUILT BIM USING MACHINE LEARNING TECHNIQUES
M. Bassier
Dept. of Civil Engineering, TC Construction - Geomatics KU Leuven - Faculty of Engineering Technology Ghent, Belgium
M. Vergauwen
Dept. of Civil Engineering, TC Construction - Geomatics KU Leuven - Faculty of Engineering Technology Ghent, Belgium
B. Van Genechten
Dept. of Civil Engineering, TC Construction - Geomatics KU Leuven - Faculty of Engineering Technology Ghent, Belgium
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M. Bassier, M. Bonduel, B. Van Genechten, and M. Vergauwen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 25–30, https://doi.org/10.5194/isprs-archives-XLII-2-W8-25-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-25-2017, 2017
M. Bonduel, M. Bassier, M. Vergauwen, P. Pauwels, and R. Klein
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M. Bassier, M. Vergauwen, and B. Van Genechten
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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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