WEAKLY SUPERVISED SEMANTIC SEGMENTATION OF SATELLITE IMAGES FOR LAND COVER MAPPING – CHALLENGES AND OPPORTUNITIES

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: WEAKLY SUPERVISED SEMANTIC SEGMENTATION OF SATELLITE IMAGES FOR LAND COVER MAPPING – CHALLENGES AND OPPORTUNITIES ; volume:V-3-2020 ; year:2020 ; pages:795-802
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; V-3-2020 (2020), 795-802

Creator: Schmitt, M.
Prexl, J.
Ebel, P.
Liebel, L.
Zhu, X. X.

DOI: 10.5194/isprs-annals-V-3-2020-795-2020

URN: urn:nbn:de:101:1-2020080618085067372530

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

Last update: 14.08.2025, 10:52 AM CEST

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Schmitt, M.
Prexl, J.
Ebel, P.
Liebel, L.
Zhu, X. X.

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WEAKLY SUPERVISED SEMANTIC SEGMENTATION OF SATELLITE IMAGES FOR LAND COVER MAPPING – CHALLENGES AND OPPORTUNITIES

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