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

Document type:: Zeitschriftenaufsatz
Author(s):: Schmitt, M.; Prexl, J.; Ebel, P.; Liebel, L.; Zhu, X. X.
Title:: WEAKLY SUPERVISED SEMANTIC SEGMENTATION OF SATELLITE IMAGES FOR LAND COVER MAPPING – CHALLENGES AND OPPORTUNITIES
Journal title:: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
Year:: 2020
Journal volume:: V-3-2020
Pages contribution:: 795-802
Fulltext / DOI:: doi:10.5194/isprs-annals-v-3-2020-795-2020
Publisher:: Copernicus GmbH
E-ISSN:: 2194-9050
Date of publication:: 03.08.2020
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