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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B2-2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-651-2020
© 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-archives-XLIII-B2-2020-651-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
12 Aug 2020
| 12 Aug 2020
UNDERSTANDING 3D POINT CLOUD DEEP NEURAL NETWORKS BY VISUALIZATION TECHNIQUES
Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, via Ponzio 31, 20133 Milano, Italy
M. Previtali
Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, via Ponzio 31, 20133 Milano, Italy
M. Scaioni
Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, via Ponzio 31, 20133 Milano, Italy
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 301–308, https://doi.org/10.5194/isprs-archives-XLII-2-W11-301-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-301-2019, 2019
R. Brumana, M. Ioannides, and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 309–316, https://doi.org/10.5194/isprs-archives-XLII-2-W11-309-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-309-2019, 2019
L. Cantini, M. Previtali, R. Moioli, and S. Della Torre
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 359–365, https://doi.org/10.5194/isprs-archives-XLII-2-W11-359-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-359-2019, 2019
L. Díaz-Vilariño, E. Frías, M. Previtali, M. Scaioni, and J. Balado
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 489–494, https://doi.org/10.5194/isprs-archives-XLII-2-W11-489-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-489-2019, 2019
M. P. Limongelli, M. Previtali, L. Cantini, S. Carosio, J. C. Matos, J. M. Isoird, H. Wenzel, and C. Pellegrino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 727–734, https://doi.org/10.5194/isprs-archives-XLII-2-W11-727-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-727-2019, 2019
F. Banfi, M. Previtali, C. Stanga, and R. Brumana
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 73–80, https://doi.org/10.5194/isprs-archives-XLII-2-W9-73-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-73-2019, 2019
L. Barazzetti and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 81–86, https://doi.org/10.5194/isprs-archives-XLII-2-W9-81-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-81-2019, 2019
L. Barazzetti, M. Previtali, F. Roncoroni, and R. Valente
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 87–92, https://doi.org/10.5194/isprs-archives-XLII-2-W9-87-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-87-2019, 2019
M. Previtali, L. Barazzetti, and F. Roncoroni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 631–638, https://doi.org/10.5194/isprs-archives-XLII-2-W9-631-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-631-2019, 2019
R. Valente, L. Barazzetti, M. Previtali, and F. Roncoroni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 731–737, https://doi.org/10.5194/isprs-archives-XLII-2-W9-731-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-731-2019, 2019
D. Wujanz, L. Barazzetti, M. Previtali, and M. Scaioni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 779–786, https://doi.org/10.5194/isprs-archives-XLII-2-W9-779-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-779-2019, 2019
M. Previtali, L. Díaz-Vilariño, and M. Scaioni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 507–514, https://doi.org/10.5194/isprs-archives-XLII-4-507-2018, https://doi.org/10.5194/isprs-archives-XLII-4-507-2018, 2018
L. Barazzetti, M. Previtali, and F. Roncoroni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 69–75, https://doi.org/10.5194/isprs-archives-XLII-2-69-2018, https://doi.org/10.5194/isprs-archives-XLII-2-69-2018, 2018
M. Scaioni, J. Crippa, M. Corti, L. Barazzetti, D. Fugazza, R. Azzoni, M. Cernuschi, and G. A. Diolaiuti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1029–1036, https://doi.org/10.5194/isprs-archives-XLII-2-1029-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1029-2018, 2018
S. R. Hosseini, M. Scaioni, and M. Marani
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 527–532, https://doi.org/10.5194/isprs-archives-XLII-3-527-2018, https://doi.org/10.5194/isprs-archives-XLII-3-527-2018, 2018
M. Scaioni, B. Höfle, A. P. Baungarten Kersting, L. Barazzetti, M. Previtali, and D. Wujanz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1503–1510, https://doi.org/10.5194/isprs-archives-XLII-3-1503-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1503-2018, 2018
Davide Fugazza, Marco Scaioni, Manuel Corti, Carlo D'Agata, Roberto Sergio Azzoni, Massimo Cernuschi, Claudio Smiraglia, and Guglielmina Adele Diolaiuti
Nat. Hazards Earth Syst. Sci., 18, 1055–1071, https://doi.org/10.5194/nhess-18-1055-2018, https://doi.org/10.5194/nhess-18-1055-2018, 2018
Short summary
Short summary
This paper describes the surveys we performed in 2014 and 2016 by means of UAVs and terrestrial photogrammetry to monitor the Forni Glacier, one of the largest glaciers in the Italian Alps. We investigated the hazards related to the glacier collapse, which have been increasing recently due to the high ice melting rate. Our approach is feasible and low cost and we will repeatedly monitor the glacier to provide rapid hazard detection services to help the tourism sector.
M. Scaioni, L. Barazzetti, M. Corti, J. Crippa, R. S. Azzoni, D. Fugazza, M. Cernuschi, and G. A. Diolaiuti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 445–452, https://doi.org/10.5194/isprs-archives-XLII-3-W4-445-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-445-2018, 2018
M. Scaioni, J. Crippa, V. Yordanov, L. Longoni, V. I. Ivanov, and M. Papini
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 453–460, https://doi.org/10.5194/isprs-archives-XLII-3-W4-453-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-453-2018, 2018
M. Cogliati, E. Tonelli, D. Battaglia, and M. Scaioni
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5-W1, 9–16, https://doi.org/10.5194/isprs-annals-IV-5-W1-9-2017, https://doi.org/10.5194/isprs-annals-IV-5-W1-9-2017, 2017
G. López-Pazos, J. Balado, L. Díaz-Vilariño, P. Arias, and M. Scaioni
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5-W1, 35–41, https://doi.org/10.5194/isprs-annals-IV-5-W1-35-2017, https://doi.org/10.5194/isprs-annals-IV-5-W1-35-2017, 2017
M. Scaioni, J. Crippa, L. Longoni, M. Papini, and L. Zanzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5-W1, 63–70, https://doi.org/10.5194/isprs-annals-IV-5-W1-63-2017, https://doi.org/10.5194/isprs-annals-IV-5-W1-63-2017, 2017
M. Scaioni, M. Corti, G. Diolaiuti, D. Fugazza, and M. Cernuschi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 1547–1554, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1547-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1547-2017, 2017
R. Valente, R. Brumana, D. Oreni, F. Banfi, L. Barazzetti, and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 707–712, https://doi.org/10.5194/isprs-archives-XLII-2-W5-707-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-707-2017, 2017
M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 583–589, https://doi.org/10.5194/isprs-archives-XLII-2-W5-583-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-583-2017, 2017
R. Brumana, S. Della Torre, D. Oreni, M. Previtali, L. Cantini, L. Barazzetti, A. Franchi, and F. Banfi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 97–104, https://doi.org/10.5194/isprs-archives-XLII-2-W5-97-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-97-2017, 2017
S. Caspani, R. Brumana, D. Oreni, and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W5, 113–119, https://doi.org/10.5194/isprs-archives-XLII-2-W5-113-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W5-113-2017, 2017
M. Scaioni, E. Rosina, A. L’Erario, and L. Dìaz-Vilariño
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 153–160, https://doi.org/10.5194/isprs-archives-XLII-5-W1-153-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-153-2017, 2017
C. Stanga, R. Valente, and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 195–201, https://doi.org/10.5194/isprs-archives-XLII-5-W1-195-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-195-2017, 2017
F. Banfi, L. Barazzetti, M. Previtali, and F. Roncoroni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 269–274, https://doi.org/10.5194/isprs-archives-XLII-5-W1-269-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-269-2017, 2017
V. Yordanov, M. Scaioni, M. T. Brunetti, M. T. Melis, A. Zinzi, and P. Giommi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 17–24, https://doi.org/10.5194/isprs-archives-XLI-B6-17-2016, https://doi.org/10.5194/isprs-archives-XLI-B6-17-2016, 2016
M. Scaioni, P. Giommi, M. T. Brunetti, C. Carli, P. Cerroni, G. Cremonese, G. Forlani, P. Gamba, M. Lavagna, M. T. Melis, M. Massironi, G. Ori, F. Salese, A. Zinzi, G. Xie, Z. Kang, R. Shi, Y. Sun, and Y. Wu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 71–78, https://doi.org/10.5194/isprs-archives-XLI-B6-71-2016, https://doi.org/10.5194/isprs-archives-XLI-B6-71-2016, 2016
L. Barazzetti, F. Roncoroni, R. Brumana, and M. Previtali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 429–434, https://doi.org/10.5194/isprs-archives-XLI-B1-429-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-429-2016, 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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