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A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features

Li, Jun and Wu, Zhaocong and Hu, Zhongwen and Jian, Canliang and Luo, Shaojie and Zhu, Xiao Xiang and Mou, LiChao and Molinier, Matthieu (2021) A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features. IEEE Transactions on Geoscience and Remote Sensing. IEEE - Institute of Electrical and Electronics Engineers. ISSN 0196-2892. (In Press)

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Item URL in elib:https://elib.dlr.de/141573/
Document Type:Article
Title:A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Li, Junjun__li (at) whu.edu.cnUNSPECIFIED
Wu, Zhaocongzcwoo (at) whu.edu.cnUNSPECIFIED
Hu, Zhongwenzwhoo (at) szu.edu.cnUNSPECIFIED
Jian, Canliangjiancanliang (at) 163.netUNSPECIFIED
Luo, Shaojieshaojieluo (at) sina.comUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Mou, LiChaoLiChao.Mou (at) dlr.deUNSPECIFIED
Molinier, Matthieumatthieu.molinier (at) vtt.fiUNSPECIFIED
Date:2021
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
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:0196-2892
Status:In Press
Keywords:deep learning, cloud detection, Sentinel 2, multi-scale fusion
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 - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Bratasanu, Ion-Dragos
Deposited On:26 Mar 2021 17:59
Last Modified:26 Mar 2021 17:59

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