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2020 IEEE GRSS Data Fusion Contest: Global Land Cover Mapping With Weak Supervision [Technical Committees]

Yokoya, Naoto and Ghamisi, Pedram and Hänsch, Ronny and Schmitt, Michael (2020) 2020 IEEE GRSS Data Fusion Contest: Global Land Cover Mapping With Weak Supervision [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine (GRSM), 8 (1), pp. 154-157. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/mgrs.2020.2970124. ISSN 2168-6831.

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Abstract

The 2020 Data Fusion Contest, organized by the IEEE Geoscience and Remote Sensing Society (GRSS) Image Analysis and Data Fusion Technical Committee (IADF TC) and the Technical University of Munich, aims to promote research in automatic large-scale land cover mapping from globally available multimodal satellite data with weak supervision.

Item URL in elib:https://elib.dlr.de/139678/
Document Type:Article
Title:2020 IEEE GRSS Data Fusion Contest: Global Land Cover Mapping With Weak Supervision [Technical Committees]
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Yokoya, NaotoUniversity of TokyoUNSPECIFIEDUNSPECIFIED
Ghamisi, PedramHZDRUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Schmitt, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:8 March 2020
Journal or Publication Title:IEEE Geoscience and Remote Sensing Magazine (GRSM)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:8
DOI:10.1109/mgrs.2020.2970124
Page Range:pp. 154-157
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2168-6831
Status:Published
Keywords:Data Fusion, Machine Learning, dataset
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 - Aircraft SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Hänsch, Ronny
Deposited On:16 Dec 2020 10:54
Last Modified:15 Jul 2021 16:26

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