DETECTING AND COUNTING ORCHARD TREES ON UNMANNED AERIAL VEHICLE (UAV)-BASED IMAGES USING ENTROPY AND NDVI FEATURES
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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DETECTING AND COUNTING ORCHARD TREES ON UNMANNED AERIAL VEHICLE (UAV)-BASED IMAGES USING ENTROPY AND NDVI FEATURES ; volume:XLIII-B2-2020 ; year:2020 ; pages:1211-1215
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIII-B2-2020 (2020), 1211-1215
- Urheber
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Haddadi, A.
Leblon, B.
Patterson, G.
- DOI
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10.5194/isprs-archives-XLIII-B2-2020-1211-2020
- URN
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urn:nbn:de:101:1-2020082005402175716396
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:52 MESZ
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Beteiligte
- Haddadi, A.
- Leblon, B.
- Patterson, G.
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