Computer vision tool for detection, mapping, and fault classification of photovoltaics modules in aerial IR videos
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Progress in Photovoltaics: Research and Applications 29.12 (2021): S. 1236-1251.
- Ereignis
-
Veröffentlichung
- (wo)
-
Erlangen
- (wer)
-
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (wann)
-
2021
- Urheber
-
Bommes, Lukas
Pickel, Tobias
Buerhop‐Lutz, Claudia
Hauch, Jens
Brabec, Christoph J.
Peters, Ian Marius
- DOI
-
10.1002/pip.3448
- URN
-
urn:nbn:de:bvb:29-opus4-188212
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:29 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Bommes, Lukas
- Pickel, Tobias
- Buerhop‐Lutz, Claudia
- Hauch, Jens
- Brabec, Christoph J.
- Peters, Ian Marius
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Entstanden
- 2021
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