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Automated High-Resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge

Sun, Xian and Wang, Peijin and Yan, Zhiyuan and Diao, Wenhui and Lu, Xiaonan and Yang, Zhujun and Zhang, Yidan and Xiang, Deliang and Yan, Chen and Guo, Jie and Dang, Bo and Wei, Wei and Xu, Feng and Wang, Cheng and Hänsch, Ronny and Weinmann, Martin and Yokoya, Naoto and Fu, Kun (2021) Automated High-Resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 8922-8940. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2021.3106941. ISSN 1939-1404.

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Official URL: https://ieeexplore.ieee.org/document/9521691


Item URL in elib:https://elib.dlr.de/146374/
Document Type:Article
Title:Automated High-Resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Sun, XianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wang, PeijinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yan, ZhiyuanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Diao, WenhuiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lu, XiaonanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yang, ZhujunUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhang, YidanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Xiang, DeliangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yan, ChenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Guo, JieUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dang, BoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wei, WeiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Xu, FengUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wang, ChengUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Weinmann, MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yokoya, NaotoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fu, KunUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:24 August 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.2021.3106941
Page Range:pp. 8922-8940
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Machine learning, object detection
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 19:00
Last Modified:05 Dec 2023 07:39

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