Zobrazeno 1 - 10
of 191
pro vyhledávání: '"I. Parisi"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-2-2023, Pp 259-265 (2023)
Technological advancements in the fields of Photogrammetry, Remote Sensing, and Geospatial Sciences continuously alter the way we collect, process, and interpret datasets. Accreditation bodies and institutions often need to respond to those changes a
Externí odkaz:
https://doaj.org/article/1cd1dbbc221d4b9fa1994a08e802a79a
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-2-2023, Pp 1279-1285 (2023)
In the world, Italy, and Tuscany in particular, is the country with the highest number and concentration of UNESCO Heritage sites. To fully understand, preserve and promote the richness of these areas, different research perspectives must be kept tog
Externí odkaz:
https://doaj.org/article/3a26ac88a85849168c2e272f2070d13d
Autor:
G. Tucci, C. Balletti, V. Bonora, F. Fassi, A. Spanò, E. I. Parisi, M. Previtali, G. Sammartano
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-2-2023, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/c2307fae2e1a4b0b96bc6a4e5073b58b
Autor:
J. P. Ortiz-Sanz, M. Gil-Docampo, T. Rego-Sanmartín, M. Arza-García, G. Tucci, E. I. Parisi, V. Bonora, F. Mugnai
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2020, Pp 235-241 (2020)
The advent of the smartphones brought with them higher processing capabilities and improved camera specifications which boosted the applications of mobile-based imagery in a range of domains. One of them is the 3-D reconstruction of objects by means
Externí odkaz:
https://doaj.org/article/5b27aeed81e343e59da429e53815f672
Autor:
G. Tucci, E. I. Parisi, V. Bonora, L. Fiorini, A. Conti, M. Corongiu, J. P. Ortiz-Sanz, M. Gil-Docampo, T. Rego-Sanmartín, M. Arza-García
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2020, Pp 257-264 (2020)
The democratization and accessibility of low-cost devices for image acquisition and the development of highly automated procedures for orientation and dense image matching allow almost every person to be a potential producer of photogrammetric models
Externí odkaz:
https://doaj.org/article/8a300cf606314d69a3746dddb7d62847
AERIAL PLATFORMS (UAV) SURVEYS IN THE VIS AND TIR RANGE. APPLICATIONS ON ARCHAEOLOGY AND AGRICULTURE
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W11, Pp 945-952 (2019)
The paper presents multi-sensor applications of Unmanned Aerial Vehicles (UAVs) on three different cases of study, belonging to the wide category of Cultural Heritage (CH). The contribution aims to examine the efficacy of different methodological app
Externí odkaz:
https://doaj.org/article/7089dda11f994b71a5fe9a265e55d8b2
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W11, Pp 1097-1104 (2019)
The recent outbreak of geospatial information to a wider audience, represents an inexorable flow made possible by the technological and scientific advances that cannot be opposed. The democratization of Geomatics technologies requires training opport
Externí odkaz:
https://doaj.org/article/01f2b78ab9934bdfaf0a56f6f0ef5026
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-5, Pp 37-44 (2018)
The Laboratory of Geomatics for Environment and Conservation of Cultural Heritage (GECO – University of Florence) has been involved since 2011 in a process of technological transfer in collaboration with the Oficina del Historiador de La Ciudad de
Externí odkaz:
https://doaj.org/article/0efe0bc6a99a4a51bd1b2ae0f9414e38
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-5, Pp 45-50 (2018)
Current close-range photogrammetry makes it possible to obtain 3-D models from imagery acquired with off-the-shelf digital cameras or other low-cost devices and processed with affordable software or apps in an almost automatic way. For this reason, a
Externí odkaz:
https://doaj.org/article/181c7dcd3a784581ac5501b7685372df
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Expectation learning is a unsupervised learning process which uses multisensory bindings to enhance unisensory perception. For instance, as humans, we learn to associate a barking sound with the visual appearance of a dog, and we continuously fine-tu
Externí odkaz:
https://doaj.org/article/1e8bd32a03534309b9af1b86172f2bcd