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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume V-4-2020
https://doi.org/10.5194/isprs-annals-V-4-2020-65-2020
© Author(s) 2020. 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-V-4-2020-65-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
03 Aug 2020
TRANSFER LEARNING FOR INDOOR OBJECT CLASSIFICATION: FROM IMAGES TO POINT CLOUDS
J. Balado
Universidade de Vigo, CINTECX, Applied Geotechnologies Research Group, Campus universitario de Vigo, As Lagoas, Marcosende 36310 Vigo, Spain
Delft University of Technology, Faculty of Architecture and the Built Environment, GIS Technology Section, 2628 BL Delft, The Netherlands
L. Díaz-Vilariño
Universidade de Vigo, CINTECX, Applied Geotechnologies Research Group, Campus universitario de Vigo, As Lagoas, Marcosende 36310 Vigo, Spain
Delft University of Technology, Faculty of Architecture and the Built Environment, GIS Technology Section, 2628 BL Delft, The Netherlands
E. Verbree
Delft University of Technology, Faculty of Architecture and the Built Environment, GIS Technology Section, 2628 BL Delft, The Netherlands
Universidade de Vigo, CINTECX, Applied Geotechnologies Research Group, Campus universitario de Vigo, As Lagoas, Marcosende 36310 Vigo, Spain
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 385–391, https://doi.org/10.5194/isprs-annals-IV-2-W4-385-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-385-2017, 2017
H. Tran, K. Khoshelham, A. Kealy, and L. Díaz-Vilariño
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 401–406, https://doi.org/10.5194/isprs-annals-IV-2-W4-401-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-401-2017, 2017
J. Balado, L. Díaz-Vilariño, P. Arias, and I. Garrido
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 287–293, https://doi.org/10.5194/isprs-annals-IV-2-W4-287-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-287-2017, 2017
N. Grasso, E. Verbree, S. Zlatanova, and M. Piras
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 311–317, https://doi.org/10.5194/isprs-annals-IV-2-W4-311-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-311-2017, 2017
G. G. Haagmans, S. Verhagen, R. L. Voûte, and E. Verbree
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 319–326, https://doi.org/10.5194/isprs-annals-IV-2-W4-319-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-319-2017, 2017
L. Díaz-Vilariño, E. Verbree, S. Zlatanova, and A. Diakité
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 345–352, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, 2017
H. González-Jorge, M. Bueno, J. Martínez-Sánchez, and P. Arias
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 135–139, https://doi.org/10.5194/isprs-archives-XLII-2-W6-135-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-135-2017, 2017
O. B. P. M. Rodenberg, E. Verbree, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W1, 249–255, https://doi.org/10.5194/isprs-annals-IV-2-W1-249-2016, https://doi.org/10.5194/isprs-annals-IV-2-W1-249-2016, 2016
M. F. S. van der Ham, S. Zlatanova, E. Verbree, and R. Voûte
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W1, 105–110, https://doi.org/10.5194/isprs-annals-IV-4-W1-105-2016, https://doi.org/10.5194/isprs-annals-IV-4-W1-105-2016, 2016
L. Díaz-Vilariño, P. Boguslawski, K. Khoshelham, H. Lorenzo, and L. Mahdjoubi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 275–281, https://doi.org/10.5194/isprs-archives-XLI-B4-275-2016, https://doi.org/10.5194/isprs-archives-XLI-B4-275-2016, 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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