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Graph Relation Network: Modeling Relations between Scenes for Multi-Label Remote Sensing Image Classification and Retrieval

Kang, Jian and Fernandez-Beltran, Ruben and Hong, Danfeng and Chanussot, Jocelyn and Plaza, Antonio (2021) Graph Relation Network: Modeling Relations between Scenes for Multi-Label Remote Sensing Image Classification and Retrieval. IEEE Transactions on Geoscience and Remote Sensing. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2020.3016020. ISSN 0196-2892. (In Press)

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Official URL: https://ieeexplore.ieee.org/document/9173783


Item URL in elib:https://elib.dlr.de/137923/
Document Type:Article
Title:Graph Relation Network: Modeling Relations between Scenes for Multi-Label Remote Sensing Image Classification and Retrieval
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Kang, JiantumUNSPECIFIED
Fernandez-Beltran, RubenInstitute of New Imaging Technologies, University Jaume I, 12071 Castellón de la Plana, Spain.UNSPECIFIED
Hong, DanfengDanfeng.Hong (at) dlr.deUNSPECIFIED
Chanussot, Jocelynjocelyn (at) hi.isUNSPECIFIED
Plaza, Antonioaplaza (at) unex.esUNSPECIFIED
Date:2021
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1109/TGRS.2020.3016020
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:In Press
Keywords:Deep learning, loss function, metric learning,multilabel scene categorization, neighbor embedding, remote sensing
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 - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Liu, Rong
Deposited On:26 Nov 2020 11:14
Last Modified:14 Jan 2021 13:45

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