Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection | |
Xiaohui Wei; Wen Zhu; Bo Liao; Lijun Cai | |
刊名 | IEEE Transactions on Geoscience and Remote Sensing |
2019 | |
卷号 | Vol.57 No.7页码:4360-4374 |
关键词 | Hyperspectral imaging Principal component analysis Big Data Matrix decomposition Sensors Adaptive regression classification convolutional neural network (CNN) hyperspectral band selection one-pass self-representation learning (SRL) row-sparsity norm |
ISSN号 | 0196-2892;1558-0644 |
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/4610518 |
专题 | 湖南大学 |
作者单位 | Hunan Province Key Laboratory of Trusted Systems and Networks, College of Information Science and Engineering, Hunan University, Changsha, China |
推荐引用方式 GB/T 7714 | Xiaohui Wei,Wen Zhu,Bo Liao,et al. Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection[J]. IEEE Transactions on Geoscience and Remote Sensing,2019,Vol.57 No.7:4360-4374. |
APA | Xiaohui Wei,Wen Zhu,Bo Liao,&Lijun Cai.(2019).Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection.IEEE Transactions on Geoscience and Remote Sensing,Vol.57 No.7,4360-4374. |
MLA | Xiaohui Wei,et al."Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection".IEEE Transactions on Geoscience and Remote Sensing Vol.57 No.7(2019):4360-4374. |
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