Ground-Based Cloud Detection Using Multiscale Attention Convolutional Neural Network

doi:10.1109/LGRS.2021.3106337

CASIA OpenIR > 复杂系统管理与控制国家重点实验室 > 影像分析与机器视觉

	Ground-Based Cloud Detection Using Multiscale Attention Convolutional Neural Network
	Zhang, Zhong 1; Yang, Shuzhen 1; Liu, Shuang 1; Xiao, Baihua2 ; Cao, Xiaozhong 3
发表期刊	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN	1545-598X
	2021-08-26
页码	5
通讯作者	Liu, Shuang(shuangliu.tjnu@gmail.com)
摘要	Cloud detection plays a significant role in ground-based remote sensing observation, and it is quite challenging due to the variations in illumination and cloud form, and the vague boundaries between cloud and sky. In this letter, we propose a novel deep model named multiscale attention convolutional neural network (MACNN) for ground-based cloud detection, which possesses a symmetric encoder-decoder structure. For accurate cloud detection, we design the multiscale module in MACNN to obtain different receptive fields by using different hole rates for the filters, and meanwhile, we propose the attention module in MACNN to learn the attention coefficients in order to reflect different importance of pixels. Furthermore, we release the Tianjin Normal University (TJNU) cloud detection database (TCDD) to provide a comparative study for different methods, and to the best of our knowledge, it is the largest cloud detection database. We conduct a series of experiments on the TCDD, and the experimental results demonstrate that the proposed MACNN outperforms state-of-the-art methods in five quantitative evaluation criteria.
关键词	Clouds Databases Decoding Cloud computing Convolutional neural networks Computer architecture Training Attention module cloud detection multiscale module Tianjin Normal University (TJNU) cloud detection database (TCDD)
DOI	10.1109/LGRS.2021.3106337
关键词[WOS]	SEGMENTATION ; SYSTEM
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[62171321] ; Natural Science Foundation of Tianjin[20JCZDJC00180] ; Natural Science Foundation of Tianjin[19JCZDJC31500] ; Open Projects Program of National Laboratory of Pattern Recognition[202000002] ; Tianjin Higher Education Creative Team Funds Program
项目资助者	National Natural Science Foundation of China ; Natural Science Foundation of Tianjin ; Open Projects Program of National Laboratory of Pattern Recognition ; Tianjin Higher Education Creative Team Funds Program
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000732104900001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/46831
专题	复杂系统管理与控制国家重点实验室_影像分析与机器视觉
通讯作者	Liu, Shuang
作者单位	1.Tianjin Normal Univ, Tianjin Key Lab Wireless Mobile Commun & Power Tr, Tianjin 300387, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.China Meteorol Adm, Meteorol Observat Ctr, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Zhong,Yang, Shuzhen,Liu, Shuang,et al. Ground-Based Cloud Detection Using Multiscale Attention Convolutional Neural Network[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2021:5.
APA	Zhang, Zhong,Yang, Shuzhen,Liu, Shuang,Xiao, Baihua,&Cao, Xiaozhong.(2021).Ground-Based Cloud Detection Using Multiscale Attention Convolutional Neural Network.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,5.
MLA	Zhang, Zhong,et al."Ground-Based Cloud Detection Using Multiscale Attention Convolutional Neural Network".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2021):5.