Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Daniele Fantin"'
Publikováno v:
Nordic Machine Intelligence. 2
Precision building detection is a difficult challenge because resolution, lighting conditions, and image quality greatly influence the performance of machine learning models. Additionally, the building types, settlement structure, road structure, soi
Autor:
Luis Filipe Lages, Nuno Catarino, Emanuel Gomes, Peter Toh, Carlos Reis-Marques, Mario Mohr, Sebastian Max Borde, Omid Asgari, Ronnie Figueiredo, Nuno Grosso, David Perez, Ana Ponte, Sílvia Lopes Teixeira, Robin Van Der Schalie, Daniele Fantin, Jo Van Brusselen, Alireza Taravat, Gerd Schmidt
Publikováno v:
Electronic Commerce Research.
European Community (EC) Horizon-funded projects and Earth Observation-based Consortia aim to create sustainable value for Space, Land, and Oceans. They typically focus on addressing Sustainable Development Goals (SDGs). Many of these projects (e.g. C
Publikováno v:
Proceedings of the Northern Lights Deep Learning Workshop; Vol. 4 (2023): Proceedings of the Northern Lights Deep Learning Workshop 2023
Tree species mapping of Norwegian production forests is a time-consuming process as forest associations largely rely on manual interpretation of earth observation data. Deep learning based image segmentation techniques have the potential to improve a
Publikováno v:
Proceedings of the Northern Lights Deep Learning Workshop; Vol. 3 (2022): Proceedings of the Northern Lights Deep Learning Workshop 2022
Measuring the mass balance of ice sheets is important with respect to understanding among others sea level rise, glacier dynamics, global ocean circulation and marine ecosystems. One important parameter of the mass balance is surface melt, which can
Autor:
Richard Siddans, Michel Van Roozendael, Diego Loyola, Yves Govaerts, Thomas Wagner, Norrie Wright, Michael Aspetsberger, Ben Veihelmann, Andreas Richter, Daniele Fantin, Oleg Dubovik, Pepijn Veefkind
European UVN satellite missions deliver global measurements for air quality and climate applications from Low Earth Orbit (LEO) satellites since over two decades. Currently we have in the morning data from GOME-2 on the three MetOp satellites and in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd1049375217312da42af082bac7dc47
https://doi.org/10.5194/egusphere-egu2020-12167
https://doi.org/10.5194/egusphere-egu2020-12167