Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Emanuele Alcaras"'
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1817 (2024)
In recent decades several methods have been developed to extract coastlines from remotely sensed images. In fact, this is one of the principal fields of remote sensing research that continues to receive attention, as testified by the thousands of sci
Externí odkaz:
https://doaj.org/article/4af0ff48ac8b4b3e9904f6175434f7ad
Autor:
Emanuele Alcaras, Claudio Parente
Publikováno v:
Journal of Imaging, Vol 9, Iss 5, p 93 (2023)
In recent years, the demand for very high geometric resolution satellite images has increased significantly. The pan-sharpening techniques, which are part of the data fusion techniques, enable the increase in the geometric resolution of multispectral
Externí odkaz:
https://doaj.org/article/33f2f6da528c474994236f423b6bc0c3
Autor:
Elena Martellato, Alice Maria Piccirillo, Giampaolo Ferraioli, Alessandra Rotundi, Vincenzo Della Corte, Pasquale Palumbo, Emanuele Alcaras, Luca Appolloni, Giuseppe Aulicino, Ivano Bertini, Vincenzo Capozzi, Elena Catucci, Zelia Dionnet, Pasquale Di Palma, Flavio Esposito, Emanuele Ferrentino, Anna Innac, Laura Inno, Silvia Pennino, Simona Saviano, Giuseppina Tirimberio, Stefania Campopiano, Elena Chianese, Pier Paolo Franzese, Giannetta Fusco, Salvatore Gaglione, Agostino Iadicicco, Ferdinando Nunziata, Claudio Parente, Vincenzo Piscopo, Angelo Riccio, Giovanni Fulvio Russo, Enrico Zambianchi
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2066 (2022)
In this paper, we present several study cases focused on marine, oceanographic, and atmospheric environments, which would greatly benefit from the use of a deployable system for small satellite observations. As opposed to the large standard ones, sma
Externí odkaz:
https://doaj.org/article/ff5ce7c04d3644c38b184ec78b6e86b9
Autor:
Emanuele Alcaras, Domenica Costantino, Francesca Guastaferro, Claudio Parente, Massimiliano Pepe
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1727 (2022)
The monitoring of burned areas can easily be performed using satellite multispectral images: several indices are available in the literature for highlighting the differences between healthy vegetation areas and burned areas, in consideration of their
Externí odkaz:
https://doaj.org/article/7dd351f0d7034f7da5e2865c7feabc7b
Publikováno v:
Geosciences, Vol 12, Iss 2, p 62 (2022)
In relation to 3D bathymetric modelling, this article aims to analyze the performance of Kriging approaches in dependence of the location and density of the measured depth points. The experiments were carried out on a multi-beam sonar (MBS) dataset t
Externí odkaz:
https://doaj.org/article/581551817c334caca5a543be2b0dfc52
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1550 (2021)
Pan-sharpening methods allow the transfer of higher resolution panchromatic images to multispectral ones concerning the same scene. Different approaches are available in the literature, and only a part of these approaches is included in remote sensin
Externí odkaz:
https://doaj.org/article/a731f181089f48d4b44944a21db22310
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 9, p 708 (2020)
Coastal and Marine Geographic Information Systems (CMGISs) permit to collect, manage, and analyze a great amount of heterogeneous data concerning coastal, sea, and ocean environments, e.g., nautical charts, topographic maps, remotely sensed images. T
Externí odkaz:
https://doaj.org/article/abb4e75d82f14b6a8390359b6b08571c
Autor:
Giampaolo Ferraioli, Claudio Parente, Elena Martellato, Emanuele Alcaras, Alessandra Rotundi, Pasquale Palumbo, Vincenzo Della Corte
Publikováno v:
Geomatics Application for Geography. :198-210
Autor:
Emanuele Alcaras, Pier Paolo Amoroso, Ugo Falchi, Francesco Giuseppe Figliomeni, Claudio Parente
Publikováno v:
2022 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea).
Autor:
Emanuele Alcaras, Pier Paolo Amoroso, Francesco Giuseppe Figliomeni, Claudio Parente, Andrea Vallario
Publikováno v:
Geomatics for Green and Digital Transition ISBN: 9783031174384
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76c632a9dfd1294ba05f10ce13458be3
https://doi.org/10.1007/978-3-031-17439-1_27
https://doi.org/10.1007/978-3-031-17439-1_27