Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network

doi:10.1007/s11432-021-3575-1

Residential College	false
Status	已發表Published
	Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network
	Wu, Jie 1; Cong, Runmin 2; Fang, Leyuan 1; Guo, Chunle 3; Zhang, Bob 4; Ghamisi, Pedram 5,6
	2023
Source Publication	Science China Information Sciences
ISSN	1674-733X
Volume	66 Issue:1
DOI	10.1007/s11432-021-3575-1
URL	View the original
Language	英語English
Scopus ID	2-s2.0-85142286060
Fulltext Access	View Full-Text via DOI View Full-Text via Web of Science View Full-Text via Scopus
Citation statistics
Document Type	Journal article
Collection	University of Macau
Affiliation	1.College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China 2.Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China 3.College of Computer Science, Nankai University, Tianjin, 300071, China 4.Department of Computer and Information Science, University of Macau, 999078, Macao 5.Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, 09599, Germany 6.Institute of Advanced Research in Artificial Intelligence (IARAI), Vienna, 1030, Austria
Recommended Citation GB/T 7714	Wu, Jie,Cong, Runmin,Fang, Leyuan,et al. Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network[J]. Science China Information Sciences, 2023, 66(1).
APA	Wu, Jie., Cong, Runmin., Fang, Leyuan., Guo, Chunle., Zhang, Bob., & Ghamisi, Pedram (2023). Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network. Science China Information Sciences, 66(1).
MLA	Wu, Jie,et al."Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network".Science China Information Sciences 66.1(2023).

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