Identifying plant species in kettle holes using UAV images and deep learning techniques
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Remote Sensing in Ecology and Conservation. 9(1),S. 1-16
- Ereignis
-
Veröffentlichung
- (wo)
-
Dresden
- (wer)
-
Technische Universität Dresden
- (wann)
-
2024
- Urheber
-
Martins, José Augusto Correa
Marcato Junior, José
Pätzig, Marlene
Sant'Ana, Diego André
Pistori, Hemerson
Liesenberg, Veraldo
Eltner, Anette
- URN
-
urn:nbn:de:bsz:14-qucosa2-892290
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:48 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Martins, José Augusto Correa
- Marcato Junior, José
- Pätzig, Marlene
- Sant'Ana, Diego André
- Pistori, Hemerson
- Liesenberg, Veraldo
- Eltner, Anette
- Technische Universität Dresden
Entstanden
- 2024
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