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Deep Learning and Earth Observation to Support the Sustainable Development Goals

Persello, Claudio and Wegner, Jan-Dirk and Hänsch, Ronny and Tuia, Devis and Ghamisi, Pedram and Koeva, Mila and Camps-Valls, Gustau (2022) Deep Learning and Earth Observation to Support the Sustainable Development Goals. IEEE Geoscience and Remote Sensing Magazine (GRSM). IEEE - Institute of Electrical and Electronics Engineers. ISSN 2168-6831.

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Item URL in elib:https://elib.dlr.de/146384/
Document Type:Article
Title:Deep Learning and Earth Observation to Support the Sustainable Development Goals
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Persello, ClaudioUNSPECIFIEDUNSPECIFIED
Wegner, Jan-DirkUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyRonny.Haensch (at) dlr.deUNSPECIFIED
Tuia, DevisUNSPECIFIEDUNSPECIFIED
Ghamisi, PedramUNSPECIFIEDUNSPECIFIED
Koeva, MilaUNSPECIFIEDUNSPECIFIED
Camps-Valls, GustauUNSPECIFIEDUNSPECIFIED
Date:2022
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
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2168-6831
Status:Accepted
Keywords:Sustainable Development Goals, Deep Learning
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 18:41
Last Modified:10 Jan 2022 08:07

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