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2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good Technical Committees

Yokoya, Naoto and Ghamisi, Pedram and Hänsch, Ronny and Prieur, Colin and Malha, Hana and Chanussot, Jocelyn and Robinson, Caleb and Malkin, Kolya and Jojic, Nebojsa (2021) 2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good Technical Committees. IEEE Geoscience and Remote Sensing Magazine (GRSM), 9 (1), 287-C3. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/MGRS.2021.3055633. ISSN 2168-6831.

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Official URL: https://ieeexplore.ieee.org/abstract/document/9371335


Item URL in elib:https://elib.dlr.de/146351/
Document Type:Article
Title:2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good Technical Committees
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Yokoya, NaotoUNSPECIFIEDUNSPECIFIED
Ghamisi, PedramUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDUNSPECIFIED
Prieur, ColinUNSPECIFIEDUNSPECIFIED
Malha, HanaUNSPECIFIEDUNSPECIFIED
Chanussot, JocelynUNSPECIFIEDUNSPECIFIED
Robinson, CalebUNSPECIFIEDUNSPECIFIED
Malkin, KolyaUNSPECIFIEDUNSPECIFIED
Jojic, NebojsaUNSPECIFIEDUNSPECIFIED
Date:1 March 2021
Journal or Publication Title:IEEE Geoscience and Remote Sensing Magazine (GRSM)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:9
DOI:10.1109/MGRS.2021.3055633
Page Range:287-C3
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2168-6831
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 19:08
Last Modified:13 Jan 2022 14:39

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