Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Matthias Richerzhagen"'
Autor:
Matthias Richerzhagen, Ivan Ferrario, Niek Doelman, W. Klop, Rudolf Saathof, T.M.N. Moens, Remco den Breeje, Juraj Poliak, Tjeerd Russchenberg, Federico Pettazzi, Ricardo Barrios, Jet Human, J. Michael Gruber, Ramon Mata Calvo
Publikováno v:
International Conference on Space Optics — ICSO 2018.
For the next generation of very high throughput communication satellites, TNO and DLR envision optical free-space communication between ground stations and geostationary telecommunication satellites to replace the traditional RF links. To mitigate at
Autor:
Federico Pettazzi, Tjeerd Russchenberg, Matthias Richerzhagen, Jet Human, Niek Doelman, Ivan Ferrario, Ramon Mata Calvo, T.M.N. Moens, Remco den Breeje, Juraj Poliak, Ricardo Barrios, Rudolf Saathof, W. Klop, Michael Gruber
For the next generation of very high throughput communication satellites, free-space optical (FSO) communication between ground stations and geostationary telecommunication satellites is likely to replace conventional RF links. To mitigate atmospheri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19f2723c8a1dd6f306115729478b21ef
https://elib.dlr.de/126954/
https://elib.dlr.de/126954/
Autor:
Markus Götz, Gabriele Cavallaro, Matthias Richerzhagen, Christian Bodenstein, Jon Atli Benediktsson, Morris Riedel, Philipp Glock
Publikováno v:
ICCS
Procedia computer science 51, 2188-2197 (2015). doi:10.1016/j.procs.2015.05.494
Sixth Workshop on Data Mining in Earth System Science, DMESS 2015, Reykjavik, Iceland, 2015-06-01-2015-06-03
Amsterdam [u.a.] : Elsevier, Procedia computer science 51, 2188-2197 (2015). doi:10.1016/j.procs.2015.05.494
Procedia computer science 51, 2188-2197 (2015). doi:10.1016/j.procs.2015.05.494
Sixth Workshop on Data Mining in Earth System Science, DMESS 2015, Reykjavik, Iceland, 2015-06-01-2015-06-03
Amsterdam [u.a.] : Elsevier, Procedia computer science 51, 2188-2197 (2015). doi:10.1016/j.procs.2015.05.494
One of the observations made in earth data science is the massive increase of data volume (e.g, higher resolution measurements) and dimensionality (e.g. hyper-spectral bands). Traditional data mining tools (Matlab, R, etc.) are becoming redundant in
Autor:
M. Goetz, Philipp Glock, Christian Bodenstein, Jon Atli Benediktsson, Matthias Richerzhagen, Gabriele Cavallaro, Morris Riedel
Publikováno v:
IGARSS
Big Data Analytics methods take advantage of techniques from the fields of data mining, machine learning, or statistics with a focus on analysing large quantities of data (aka ‘big datasets’) with modern technologies. Big data sets appear in remo
Autor:
A.S. Memon, Philipp Glock, M. Goetz, Matthias Richerzhagen, Morris Riedel, C. Bodenstein, M.S. Memon
Publikováno v:
MIPRO
Many scientific datasets (e.g. earth sciences, medical sciences, etc.) increase with respect to their volume or in terms of their dimensions due to the ever increasing quality of measurement devices. This contribution will specifically focus on how t
Autor:
Jon Atli Benediktsson, Antonio Plaza, Morris Riedel, Matthias Richerzhagen, Gabriele Cavallaro
Owing to the recent development of sensor resolutions onboard different Earth observation platforms, remote sensing is an important source of information for mapping and monitoring natural and man-made land covers. Of particular importance is the inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eac6bf9a6cf2e44ef423e6f520314ffe
https://hdl.handle.net/20.500.11815/142
https://hdl.handle.net/20.500.11815/142