APPLICATION OF DEEP LEARNING OF MULTI-TEMPORAL SENTINEL-1 IMAGES FOR THE CLASSIFICATION OF COASTAL VEGETATION ZONE OF THE DANUBE DELTA

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: APPLICATION OF DEEP LEARNING OF MULTI-TEMPORAL SENTINEL-1 IMAGES FOR THE CLASSIFICATION OF COASTAL VEGETATION ZONE OF THE DANUBE DELTA ; volume:XLII-3 ; year:2018 ; pages:1311-1318
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLII-3 (2018), 1311-1318

Creator: Niculescu, S.
Ienco, D.
Hanganu, J.

DOI: 10.5194/isprs-archives-XLII-3-1311-2018

URN: urn:nbn:de:101:1-2018061510223063615204

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:24 AM CEST

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Niculescu, S.
Ienco, D.
Hanganu, J.

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APPLICATION OF DEEP LEARNING OF MULTI-TEMPORAL SENTINEL-1 IMAGES FOR THE CLASSIFICATION OF COASTAL VEGETATION ZONE OF THE DANUBE DELTA

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Other Objects (12)

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ESTIMATION OF SUGARCANE YIELD USING MULTI-TEMPORAL SENTINEL 2 SATELLITE IMAGERY AND RANDOM FOREST REGRESSION

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