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Self-supervised representation learning for cloud detection using Sentinel-2 images

delete2025-12-25
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OA
AI
Y
Yawogan Jean Eudes Gbodjo *
L
Lloyd Haydn Hughes
M
Matthieu Molinier
D
Devis Tuia
J
Jun Li
DOI：10.1016/j.rse.2025.115205delete
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摘要

摘要

En 中文
• 两种自监督方法被用于云和云阴影检测。 • MoCo和DeepCluster在少量标签的情况下优于行业标准如FMask和Sen2Cor。 • 使用训练集中25%的注释，两种方法均获得了可靠性能。 • MoCo和DeepCluster对云的处理优于云阴影。
Keyword:
Cloud and cloud shadow
Contrastive learning
MoCo
Deep clustering
DeepCluster
WHUS2–CD+
CloudSEN12
AI总结

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Remote Sensing of Environment 封面图
Remote Sensing of Environment
IF:
11.4
论文数:
1.1W
被引数:
9.4W

机构

E
EPFL
学者数:
351
论文数: 165
被引数: 22
V
VTT Technical Research Centre of Finland Ltd
学者数:
116
论文数: 47
被引数: 0
I
iceye oy
学者数:
3
论文数: 3
被引数: 1
N
Nanjing University of Aeronautics and Astronautics
学者数:
7.4K
论文数: 3.1K
被引数: 2.4W
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引用论文

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