| Residential College | false |
| Status | 已發表Published |
| Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network | |
Wu, Jie1; Cong, Runmin2; Fang, Leyuan1 ; Guo, Chunle3; Zhang, Bob4 ; Ghamisi, Pedram5,6
| |
| 2023-01 | |
| Media | SCIENCE CHINA-INFORMATION SCIENCES |
| DOI | 10.1007/s11432-021-3575-1 |
| Language | 英語English |
| URL | View the original |
| Scopus ID | 2-s2.0-85142286060 |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Other |
| Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
| Co-First Author | Wu, Jie |
| Corresponding Author | Fang, Leyuan |
| 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, Macao 999078, China 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. 2023-01-01. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment