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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2/W15
https://doi.org/10.5194/isprs-archives-XLII-2-W15-735-2019
© Author(s) 2019. 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-XLII-2-W15-735-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
23 Aug 2019
| 23 Aug 2019
DEEP LEARNING FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUD
E. S. Malinverni
Universitá Politecnica delle Marche, Dipartimento di Ingegneria Civile, Edile e dell’Architettura, 60100 Ancona, Italy
R. Pierdicca
Universitá Politecnica delle Marche, Dipartimento di Ingegneria Civile, Edile e dell’Architettura, 60100 Ancona, Italy
M. Paolanti
Universitá Politecnica delle Marche, Dipartimento di Ingegneria dell’Informazione, 60100 Ancona, Italy
M. Martini
Universitá Politecnica delle Marche, Dipartimento di Ingegneria dell’Informazione, 60100 Ancona, Italy
C. Morbidoni
Universitá Politecnica delle Marche, Dipartimento di Ingegneria dell’Informazione, 60100 Ancona, Italy
F. Matrone
Politecnico di Torino, Dipartimento di Ingegneria dell’Ambiente, del Territorio e delle Infrastrutture, 10129, Torino, Italy
A. Lingua
Politecnico di Torino, Dipartimento di Ingegneria dell’Ambiente, del Territorio e delle Infrastrutture, 10129, Torino, Italy
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Short summary
Short summary
For the processing of geomatics data, artificial intelligence (AI) offers overwhelming opportunities. The integration of AI approaches in geomatics has developed into the concept of geospatial artificial intelligence (GeoAI), which is a new paradigm for geographic knowledge discovery and beyond. This contribution outlines AI-based techniques for analysing and interpreting complex geomatics data. How AI approaches have been exploited for the interpretation of geomatic data is explained.
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F. Matrone, A. Lingua, R. Pierdicca, E. S. Malinverni, M. Paolanti, E. Grilli, F. Remondino, A. Murtiyoso, and T. Landes
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1419–1426, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020, 2020
I. Aicardi, A. Lingua, L. Mazzara, M. A. Musci, and G. Rizzo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 183–189, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-183-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-183-2020, 2020
I. Aicardi, S. Angeli, N. Grasso, A. M. Lingua, and P. Maschio
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1009–1016, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1009-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1009-2020, 2020
C. Wang, Y. Dai, N. Elsheimy, C. Wen, G. Retscher, Z. Kang, and A. Lingua
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2020, 117–123, https://doi.org/10.5194/isprs-annals-V-5-2020-117-2020, https://doi.org/10.5194/isprs-annals-V-5-2020-117-2020, 2020
M. Paolanti, R. Pierdicca, M. Martini, A. Felicetti, E. S. Malinverni, E. Frontoni, and P. Zingaretti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 871–878, https://doi.org/10.5194/isprs-archives-XLII-2-W15-871-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-871-2019, 2019
D. De Luca, M. Del Giudice, N. Grasso, F. Matrone, A. Osello, and M. Piras
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 381–388, https://doi.org/10.5194/isprs-archives-XLII-2-W15-381-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-381-2019, 2019
G. P. C. Bronzino, N. Grasso, F. Matrone, A. Osello, and M. Piras
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 215–222, https://doi.org/10.5194/isprs-archives-XLII-2-W15-215-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-215-2019, 2019
M. A. Musci, I. Aicardi, P. Dabove, and A. M. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1701–1707, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1701-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1701-2019, 2019
C. Wang, Y. Dai, N. El-Sheimy, C. Wen, G. Retscher, Z. Kang, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1709–1713, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1709-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1709-2019, 2019
F. Chiabrando, F. Giulio Tonolo, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 247–253, https://doi.org/10.5194/isprs-archives-XLII-2-W13-247-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-247-2019, 2019
F. Matrone, E. Colucci, V. De Ruvo, A. Lingua, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 857–865, https://doi.org/10.5194/isprs-archives-XLII-2-W11-857-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-857-2019, 2019
E. S. Malinverni, S. Chiappini, and R. Pierdicca
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 771–776, https://doi.org/10.5194/isprs-archives-XLII-2-W11-771-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-771-2019, 2019
E. S. Malinverni, F. Mariano, F. Di Stefano, L. Petetta, and F. Onori
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 777–784, https://doi.org/10.5194/isprs-archives-XLII-2-W11-777-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-777-2019, 2019
E. S. Malinverni, R. Pierdicca, F. Di Stefano, M. Sturari, M. Mameli, E. Frontoni, R. Orazi, and F. Colosi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 785–792, https://doi.org/10.5194/isprs-archives-XLII-2-W11-785-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-785-2019, 2019
B. G. Marino, A. Masiero, F. Chiabrando, A. M. Lingua, F. Fissore, W. Błaszczak-Bak, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 809–813, https://doi.org/10.5194/isprs-archives-XLII-2-W11-809-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-809-2019, 2019
A. Masiero, F. Chiabrando, A. M. Lingua, B. G. Marino, F. Fissore, A. Guarnieri, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 473–478, https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019, 2019
R. Quattrini, R. Pierdicca, A. Lucidi, F. Di Stefano, and E. S. Malinverni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 647–654, https://doi.org/10.5194/isprs-archives-XLII-2-W9-647-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-647-2019, 2019
E. Colucci, F. Noardo, F. Matrone, A. Spanò, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 107–114, https://doi.org/10.5194/isprs-archives-XLII-4-107-2018, https://doi.org/10.5194/isprs-archives-XLII-4-107-2018, 2018
G. Fangi, R. Pierdicca, M. Sturari, and E. S. Malinverni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 331–337, https://doi.org/10.5194/isprs-archives-XLII-2-331-2018, https://doi.org/10.5194/isprs-archives-XLII-2-331-2018, 2018
R. Pierdicca, E. S. Malinverni, F. Piccinini, M. Paolanti, A. Felicetti, and P. Zingaretti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 893–900, https://doi.org/10.5194/isprs-archives-XLII-2-893-2018, https://doi.org/10.5194/isprs-archives-XLII-2-893-2018, 2018
F. Chiabrando, E. Colucci, A. Lingua, F. Matrone, F. Noardo, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 151–158, https://doi.org/10.5194/isprs-archives-XLII-3-W4-151-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-151-2018, 2018
A. Lingua, F. Noardo, A. Spanò, S. Sanna, and F. Matrone
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W2, 107–115, https://doi.org/10.5194/isprs-archives-XLII-4-W2-107-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W2-107-2017, 2017
E. S. Malinverni, R. Pierdicca, M. Sturari, F. Colosi, and R. Orazi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 203–210, https://doi.org/10.5194/isprs-archives-XLII-5-W1-203-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-203-2017, 2017
R. Quattrini, R. Pierdicca, C. Morbidoni, and E. S. Malinverni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 275–281, https://doi.org/10.5194/isprs-archives-XLII-5-W1-275-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-275-2017, 2017
E. S. Malinverni and R. Pierdicca
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W3, 459–465, https://doi.org/10.5194/isprs-archives-XLII-2-W3-459-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W3-459-2017, 2017
E. S. Malinverni, C. Conati Barbaro, R. Pierdicca, C. A. Bozzi, and A. N. Tassetti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 1149–1155, https://doi.org/10.5194/isprs-archives-XLI-B1-1149-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-1149-2016, 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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