Hyperspectral Image Restoration Using Low-Rank Tensor Recovery-Reference-Cited by-同舟云学术

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Hyperspectral Image Restoration Using Low-Rank Tensor Recovery

Published:2017-10 Issue:10 Volume:10 Page:4589-4604
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Fan Haiyan^ORCID,Chen Yunjin,Guo Yulan,Zhang Hongyan^ORCID,Kuang Gangyao

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/8063257/07974741.pdf?arnumber=7974741

Cited by 141 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Structural Sparse Tensor Robust PCA Method Based on Cross-Entropy for Vehicular Network Data Recovery;IEEE Transactions on Vehicular Technology;2024-08

2. Sparsity Regularized Rank-(L,M,N) Block Term Decomposition for Hyperspectral Image Mixed Noise Removal;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Bi-Level Tensor Decomposition for Hyperspectral Image Restoration;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Hyperspectral Images Mixed Noise Removal via Group-Tube Transform Induced Collaborative Sparsity and Low-Rankness;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Multimode Multiple Relationships Nuclear Norm Minimization Robust PCA Method for IoT Data Restoration;IEEE Internet of Things Journal;2024-05-01

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