南方科技大学知识苑(SUSTech KC): SwinSTFM: Remote Sensing Spatiotemporal Fusion Using Swin Transformer

Title	SwinSTFM: Remote Sensing Spatiotemporal Fusion Using Swin Transformer
Author	Guanyu Chen 1; Peng Jiao 1; Qing Hu2 ; Linjie Xiao 3; Zijian Ye 4
Publication Years	2022
DOI	10.1109/TGRS.2022.3182809
Source Title	IEEE Transactions on Geoscience and Remote Sensing Impact Factor & Quartile
ISSN	1558-0644
Volume	60Pages:1-18
Keywords	Deep Learning Remote Sensing Spatiotemporal Fusion Swin Transformer Unmixing
URL	[Source Record]
Indexed By	SCI ; EI
Language	English
SUSTech Authorship	Others
EI Accession Number	20222812353260
EI Keywords	Deep Learning ; Image Enhancement ; Learning Algorithms ; Medicine ; Neural Networks ; Remote Sensing
ESI Classification Code	Ergonomics And Human Factors Engineering:461.4 ; Medicine And Pharmacology:461.6 ; Data Processing And Image Processing:723.2 ; Machine Learning:723.4.2
Data Source	IEEE
PDF url	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9795183
Citation statistics	Cited Times [WOS]:1
Document Type	Journal Article
Identifier	http://kc.sustech.edu.cn/handle/2SGJ60CL/347908
Department	School of Environmental Science and Engineering
Affiliation	1.Beijing Academy of Blockchain and Edge Computing, Beijing, China 2.School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China 3.College of Engineering, Peking University, Beijing, China 4.School of Geophysics and Information Technology, China University of Geosciences, Beijing, China
Recommended Citation GB/T 7714	Guanyu Chen,Peng Jiao,Qing Hu,et al. SwinSTFM: Remote Sensing Spatiotemporal Fusion Using Swin Transformer[J]. IEEE Transactions on Geoscience and Remote Sensing,2022,60:1-18.
APA	Guanyu Chen,Peng Jiao,Qing Hu,Linjie Xiao,&Zijian Ye.(2022).SwinSTFM: Remote Sensing Spatiotemporal Fusion Using Swin Transformer.IEEE Transactions on Geoscience and Remote Sensing,60,1-18.
MLA	Guanyu Chen,et al."SwinSTFM: Remote Sensing Spatiotemporal Fusion Using Swin Transformer".IEEE Transactions on Geoscience and Remote Sensing 60(2022):1-18.

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