南方科技大学知识苑(SUSTech KC): An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images

题名	An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images
作者	Lin，Fangzhou 1; Gao，Che Nyang 2; Yamada，Kazunori D.1
通讯作者	Lin，Fangzhou
发表日期	2022
DOI	10.1109/LGRS.2021.3102939
发表期刊	IEEE Geoscience and Remote Sensing Letters 影响因子和分区
ISSN	1558-0571
卷号	19页码:1-5
关键词	Air pollution deep learning fully convolutional network (FCN) remote sensing (RS)
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	其他
EI入藏号	20215211402561
EI主题词	Acid rain ; Air pollution ; Convolution ; Deep learning ; Satellites
EI分类号	Air Pollution:451 ; Air Pollution Sources:451.1 ; Ergonomics and Human Factors Engineering:461.4 ; Satellites:655.2 ; Information Theory and Signal Processing:716.1
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9512552
引用统计	被引频次[WOS]：2
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/259930
专题	工学院_计算机科学与工程系
作者单位	1.Graduate School of Information Sciences,Tohoku University,Sendai,980-8579,Japan 2.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
推荐引用方式 GB/T 7714	Lin，Fangzhou,Gao，Che Nyang,Yamada，Kazunori D.. An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images[J]. IEEE Geoscience and Remote Sensing Letters,2022,19:1-5.
APA	Lin，Fangzhou,Gao，Che Nyang,&Yamada，Kazunori D..(2022).An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images.IEEE Geoscience and Remote Sensing Letters,19,1-5.
MLA	Lin，Fangzhou,et al."An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images".IEEE Geoscience and Remote Sensing Letters 19(2022):1-5.