DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing | |
Yuanchao Su; Jun Li; Antonio Plaza; Andrea Marinoni; Paolo Gamba; Somdatta Chakravortty | |
刊名 | IEEE Transactions on Geoscience and Remote Sensing |
2019 | |
卷号 | Vol.57 No.7页码:4309-4321 |
关键词 | Hyperspectral imaging Estimation Computers Training Noise reduction Deep autoencoder network (DAEN) deep learning endmember identification hyperspectral unmixing variational autoencoder (VAE) |
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/4610579 |
专题 | 湖南大学 |
作者单位 | 1.Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China 2.College of Electrical and Information Engineering, Hunan University, Changsha, China 3.Department of Technology of Computers and Communications, Hyperspectral Computing Laboratory, Escuela Politécnica, University of Extremadura, Cáceres, Spain 4.Department of Physics and Technology, Earth Observation Group, Centre for Integrated Remote Sensing and Forecasting for Arctic Operations, UiT–The Arctic University of Norway, Troms, Norway 5.Department of Electrical, Computer and Biomedical Engineering, Telecommunications and Remote Sensing Laboratory, University of Pavia, Pavia, Italy 6.Department of Information Technology, Maulana Abul Kalam Azad University of Technology, Kolkata, India |
推荐引用方式 GB/T 7714 | Yuanchao Su,Jun Li,Antonio Plaza,et al. DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing[J]. IEEE Transactions on Geoscience and Remote Sensing,2019,Vol.57 No.7:4309-4321. |
APA | Yuanchao Su,Jun Li,Antonio Plaza,Andrea Marinoni,Paolo Gamba,&Somdatta Chakravortty.(2019).DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing.IEEE Transactions on Geoscience and Remote Sensing,Vol.57 No.7,4309-4321. |
MLA | Yuanchao Su,et al."DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing".IEEE Transactions on Geoscience and Remote Sensing Vol.57 No.7(2019):4309-4321. |
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