Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Lingua, Andrea Maria"'
Autor:
Orlando, Vinicius Silva Werneck, Galo, Maria de Lourdes Bueno Trindade, Martins, George Deroco, Lingua, Andrea Maria, de Assis, Gleice Aparecida, Belcore, Elena
Publikováno v:
Agriculture; Basel; Dec2024, Vol. 14 Issue 12, p2173, 12p
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 48 Issue 2, p233-240, 8p
Autor:
Menna, Fabio, McAvoy, Scott, Nocerino, Erica, Tanduo, Beatrice, Giuseffi, Louise, Calantropio, Alessio, Chiabrando, Filiberto, Teppati Losè, Lorenzo, Lingua, Andrea Maria, Sandin, Stuart, Edwards, Clinton, Zgliczynski, Brian, Rissolo, Dominique, Kuester, Falko
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 48 Issue 2, p265-272, 8p
Autor:
Messina, Francesco, Lingua, Andrea Maria, Martino, Alessio, Matrone, Francesca, Maschio, Paolo
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 48 Issue 1, p495-502, 8p
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 48 Issue 1, p487-493, 7p
Autor:
Longhi, Valeria, Martino, Alessio, Lingua, Andrea Maria, Maschio, Paolo Felice, Belcore, Elena
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 48 Issue 1, p443-450, 8p
Autor:
Calantropio, Alessio, Menna, Fabio, Skarlatos, Dimitrios, Balletti, Caterina, Mandlburger, Gottfried, Agrafiotis, Panagiotis, Chiabrando, Filiberto, Lingua, Andrea Maria, Giaquinto, Alessia, Nocerino, Erica
Publikováno v:
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 10 Issue 2, p33-40, 8p
Akademický článek
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Autor:
Paolanti, Marina, Matrone, Francesca, Uricchio, Tiberio, Giovanola, Benedetta, Frontoni, Emanuele, Lingua, Andrea Maria, Pierdicca, Roberto
The use of Artificial Intelligence techniques for the automatic recognition of architectural elements from point clouds can provide valuable support to facilitate preservation operations, and support many other activities related to Digital Cultural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3825ead1f571b8139097a71271afdc90
Autor:
Pontoglio Emanuele, Grasso Nives, Cagninei Andrea, Camporeale Carlo, Dabove Paolo, Lingua Andrea Maria
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4148 (2020)
In recent decades, photogrammetric and machine learning technologies have become essential for a better understanding of environmental and anthropic issues. The present work aims to respond one of the most topical problems in environmental photogramm
Externí odkaz:
https://doaj.org/article/89828dbc4819410bb1a12e192b0e9244