Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution | |
Renwei Dian; Shutao Li; Leyuan Fang | |
刊名 | IEEE Transactions on Neural Networks and Learning Systems |
2019 | |
卷号 | Vol.30 No.9页码:2672-2683 |
关键词 | Spatial resolution Dictionaries Correlation Hyperspectral imaging Matrix decomposition Hyperspectral imaging image fusion low tensor-train (TT) rank (LTTR) learning superresolution |
ISSN号 | 2162-237X;2162-2388 |
URL标识 | 查看原文 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4613968 |
专题 | 湖南大学 |
作者单位 | College of Electrical and Information Engineering, Hunan University, Changsha, China College of Electrical and Information Engineering, Hunan University, Changsha, China College of Electrical and Information Engineering, Hunan University, Changsha, China |
推荐引用方式 GB/T 7714 | Renwei Dian,Shutao Li,Leyuan Fang. Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution[J]. IEEE Transactions on Neural Networks and Learning Systems,2019,Vol.30 No.9:2672-2683. |
APA | Renwei Dian,Shutao Li,&Leyuan Fang.(2019).Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution.IEEE Transactions on Neural Networks and Learning Systems,Vol.30 No.9,2672-2683. |
MLA | Renwei Dian,et al."Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution".IEEE Transactions on Neural Networks and Learning Systems Vol.30 No.9(2019):2672-2683. |
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