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Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest

Robinson, Caleb and Malkin, Kolya and Jojic, Nebojsa and Chen, Huijun and Qin, Rongjun and Xiao, Changlin and Schmitt, Michael and Ghamisi, Pedram and Hänsch, Ronny and Yokoya, Naoto (2021) Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 3185-3199. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2021.3063849. ISSN 1939-1404.

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Official URL: https://ieeexplore.ieee.org/document/9369830


Item URL in elib:https://elib.dlr.de/146353/
Document Type:Article
Title:Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Robinson, CalebUNSPECIFIEDUNSPECIFIED
Malkin, KolyaUNSPECIFIEDUNSPECIFIED
Jojic, NebojsaUNSPECIFIEDUNSPECIFIED
Chen, HuijunUNSPECIFIEDUNSPECIFIED
Qin, RongjunUNSPECIFIEDUNSPECIFIED
Xiao, ChanglinUNSPECIFIEDUNSPECIFIED
Schmitt, MichaelUNSPECIFIEDUNSPECIFIED
Ghamisi, PedramUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyGerman Aerospace Center (DLR)https://orcid.org/0000-0002-2936-6765
Yokoya, NaotoUNSPECIFIEDUNSPECIFIED
Date:2021
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:14
DOI:10.1109/JSTARS.2021.3063849
Page Range:pp. 3185-3199
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Data Fusion Contest, change detection, semantic segmentation, benchmarking
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Hänsch, Ronny
Deposited On:29 Nov 2021 19:07
Last Modified:12 Jan 2022 10:10

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