Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images (Englisch)
Freier Zugriff
- Neue Suche nach: Kislov, Dmitry E.
- Neue Suche nach: Korznikov, Kirill A.
- Neue Suche nach: Altman, Jan
- Neue Suche nach: Vozmishcheva, Anna S.
- Neue Suche nach: Krestov, Pavel V.
- Neue Suche nach: Kislov, Dmitry E.
- Neue Suche nach: Korznikov, Kirill A.
- Neue Suche nach: Altman, Jan
- Neue Suche nach: Vozmishcheva, Anna S.
- Neue Suche nach: Krestov, Pavel V.
- Neue Suche nach: Disney, Mat
- Neue Suche nach: Cord, Anna
In:
Remote Sensing in Ecology and Conservation
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7
, 3
;
355-368
;
2021
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ISSN:
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images
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Beteiligte:Kislov, Dmitry E. ( Autor:in ) / Korznikov, Kirill A. ( Autor:in ) / Altman, Jan ( Autor:in ) / Vozmishcheva, Anna S. ( Autor:in ) / Krestov, Pavel V. ( Autor:in ) / Disney, Mat ( Herausgeber:in ) / Cord, Anna ( Herausgeber:in )
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Erschienen in:Remote Sensing in Ecology and Conservation ; 7, 3 ; 355-368
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Verlag:
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Erscheinungsdatum:01.09.2021
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Format / Umfang:14 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
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