Improving the classification of Land use Objects using Dense Connectitvity of Convolutional Neural Networks

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Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
In: Gujrathi, A.; Yang, C.; Rottensteiner, F.; Buddhiraju, K.M.; Heipke, C.: Improving the classification of Land use Objects using Dense Connectitvity of Convolutional Neural Networks. In: Paparoditis, N. et al. (Eds.): XXIV ISPRS Congress, Commission II : edition 2020. Katlenburg-Lindau : Copernicus Publications, 2020. (ISPRS Archives ; volume 43,B2), S. 667-673. DOI: https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-667-2020

Ereignis
Veröffentlichung
(wo)
Hannover, Hannover
(wer)
Gottfried Wilhelm Leibniz Universität Hannover, Technische Informationsbibliothek (TIB)
(wann)
2020
Urheber
Gujrathi, Aishwarya
Yang, C.
Rottensteiner, F.
Buddhiraju, K.M.
Heipke, Christian

DOI
10.15488/10822
URN
urn:nbn:de:101:1-2021042902482665474940
Rechteinformation
Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:49 MEZ

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Beteiligte

  • Gujrathi, Aishwarya
  • Yang, C.
  • Rottensteiner, F.
  • Buddhiraju, K.M.
  • Heipke, Christian
  • Gottfried Wilhelm Leibniz Universität Hannover, Technische Informationsbibliothek (TIB)

Entstanden

  • 2020

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