Cloud Detection Algorithm Using Advanced Fully Convolutional Neural Networks in FY3D-MERSI Imagery

Yutong Ding, Xiuqing Hu, Yuqing He*, Mingqi Liu, Saijie Wang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Cloud detection plays a very important role in the development of satellite remote sensing products and influences the accuracy of satellite products that characterize the properties of clouds, aerosols, trace gases, and ground surface parameters. However, current existing cloud detection methods rely heavily on the data of visible bands. It makes FY3D MERSI, which lacks visible band data at night, difficult to use these methods with high accuracy. In this paper, we proposed a cloud detection method based on deep learning termed CM-CNN for FY-3D MERSI. In order to ensure the effect of the network, the data has been strictly selected and consequently preprocessed. The method can automatically extract identified target features and fuse multi-level feature information, and adjust the parameters in the network without setting a threshold. Besides, this method proves to be better and more robust while only using mid-infrared and long-infrared band data in different cases.

源语言英语
主期刊名Pattern Recognition and Computer Vision - 3rd Chinese Conference, PRCV 2020, Proceedings
编辑Yuxin Peng, Hongbin Zha, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Jian Yang
出版商Springer Science and Business Media Deutschland GmbH
615-625
页数11
ISBN(印刷版)9783030606329
DOI
出版状态已出版 - 2020
已对外发布
活动3rd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020 - Nanjing, 中国
期限: 16 10月 202018 10月 2020

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12305 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议3rd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020
国家/地区中国
Nanjing
时期16/10/2018/10/20

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