Zobrazeno 1 - 10
of 2 843
pro vyhledávání: '"A. Lingua"'
Autor:
G. Ceccherelli, F. Chiabrando, F. Gallitto, A. Lingua, V. Longhi, P. Maschio, F. Matrone, F. Menna, E. Nocerino, M. Scalici, S. Secco, B. Tanduo
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 65-71 (2024)
In the framework of mapping underwater environments, Posidonia Oceanica (PO) is a fundamental indicator for environmental monitoring and related studies and analyses for climate change. The POSEIDON project aims to study, develop and test new methodo
Externí odkaz:
https://doaj.org/article/922b9a1741fa4197be3ba10d58c31969
Autor:
C. Balletti, A. Capra, A. Calantropio, F. Chiabrando, E. Colucci, G. Furfaro, A. Guastella, F. Guerra, A. Lingua, F. Matrone, F. Menna, E. Nocerino, L. Teppati Losè, P. Vernier, D. Visintini
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-2-2023, Pp 147-154 (2023)
The first edition of the SUNRISE (Seashore and UNderwater documentation of aRchaeological herItage palimpSests and Environment) summer school was carried out in Marina di Ragusa in Sicily (Italy) from 3rd to 9th September 2022. It was jointly organiz
Externí odkaz:
https://doaj.org/article/62e238ae53b34be5a683258ab01b6a14
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-2-2023, Pp 935-942 (2023)
Recently rapid mapping techniques based on UAV photogrammetry increasingly help on-site archaeological documentation works. Multi-temporal data are specifically crucial in diachronic investigation research, and for this purpose the data co-registrati
Externí odkaz:
https://doaj.org/article/f27619dacce54b1185a4106b8f4318bb
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-2-2023, Pp 1419-1426 (2023)
Landscape heritage, especially if it does not arouse great public echoes, needs great attention, starting from knowledge and metric documentation processes to which reality-based sensing techniques often contribute significantly. The primary purpose
Externí odkaz:
https://doaj.org/article/0223d6a42ebb484495d20625cf7b7b01
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2022, Pp 317-324 (2022)
In the geomatics domain the use of deep learning, a subset of machine learning, is becoming more and more widespread. In this context, the 3D semantic segmentation of heritage point clouds presents an interesting and promising approach for modelling
Externí odkaz:
https://doaj.org/article/deafcaa620d546eaae95fa9134fb4fd7
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2022, Pp 415-422 (2022)
Thanks to the latest technological developments LiDAR (Light Detection And Ranging) sensors are no longer an exclusive feature of manned airborne platforms but they are close to becoming a commercial solution in the UAS (Uncrewed Aerial Systems) doma
Externí odkaz:
https://doaj.org/article/8b513a1596cc4db98bb128975393822c
We present an algebraic method to derive the structure at the basis of the mapping of bosonic algebras of creation and annihilation operators into fermionic algebras, and vice versa, introducing a suitable identification between bosonic and fermionic
Externí odkaz:
http://arxiv.org/abs/2409.17271
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2021, Pp 727-734 (2021)
Heavy rain between the 2nd and 3rd of October 2020 severely affected the area of Limone Piemonte, Piemonte Region (Italy). The consequence of those two days of rain was a flood that, starting from the hamlet of Limonetto severely damaged the areas cl
Externí odkaz:
https://doaj.org/article/8f7d07aaf426410b8fb163d983bc5154
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 183-189 (2020)
This study describes some tests carried out, within the European project (reference call: MANUNET III 2018, project code: MNET18/ICT-3438) called SEI (Spectral Evidence of ice), for the geometrical ice detection on airplane wings. The purpose of thes
Externí odkaz:
https://doaj.org/article/8808678fd6f44ab981fb23e30d098e98
Autor:
F. Matrone, A. Lingua, R. Pierdicca, E. S. Malinverni, M. Paolanti, E. Grilli, F. Remondino, A. Murtiyoso, T. Landes
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 1419-1426 (2020)
The lack of benchmarking data for the semantic segmentation of digital heritage scenarios is hampering the development of automatic classification solutions in this field. Heritage 3D data feature complex structures and uncommon classes that prevent
Externí odkaz:
https://doaj.org/article/2d21fe96559048b39b031a01c16c8046