Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jonas Gütter"'
Publikováno v:
Frontiers in Remote Sensing, Vol 3 (2023)
Obtaining high quality labels is a major challenge for the application of deep neural networks in the remote sensing domain. A common way of acquiring labels is the usage of crowd sourcing which can provide much needed training data sets but also oft
Externí odkaz:
https://doaj.org/article/20cc4bb67afc46e39fff99ddaffab5fe
Publikováno v:
Frontiers in Remote Sensing, Vol 3 (2022)
Deep Learning usually requires large amounts of labeled training data. In remote sensing, deep learning is often applied for land cover and land use classification as well as street network and building segmentation. In case of the latter, a common w
Externí odkaz:
https://doaj.org/article/16e46aac38db4b0fb8f1e8a2447dbf32
Autor:
Simon Besnard, Maurizio Santoro, Martin Herold, Oliver Cartus, Jonas Gütter, Bruno Herault, Justin Kassi, Sujan Koirala, Anny N'Guessan, Christopher Neigh, Jacob Nelson, Benjamin Poulter, Ulrich Weber, Tao Zhang, Nuno Carvalhais
The forest age can be defined as the time since the last stand-replacement event. Within the local context, it determines the forest successional stage, a fundamental variable for diagnosing the net carbon fluxes in terrestrial ecosystems. To accurat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ac17f4ae64514d2f3efb236a80c80f5
https://doi.org/10.5194/egusphere-egu23-6473
https://doi.org/10.5194/egusphere-egu23-6473
Autor:
Simon Besnard, Sujan Koirala, Maurizio Santoro, Ulrich Weber, Jacob Nelson, Jonas Gütter, Bruno Herault, Justin Kassi, Anny N'Guessan, Christopher Neigh, Benjamin Poulter, Tao Zhang, Nuno Carvalhais
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::443d7b919f1887b2a68bd8a323962b42
https://doi.org/10.5194/essd-2021-77-supplement
https://doi.org/10.5194/essd-2021-77-supplement