Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial

Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior

Published:2022 Issue: Volume:60 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wu Wei-Hao¹^ORCID,Huang Ting-Zhu¹^ORCID,Zhao Xi-Le¹^ORCID,Wang Jian-Li¹^ORCID,Zheng Yu-Bang¹^ORCID

Affiliation:

1. Research Center for Image and Vision Computing, School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China

Funder

NSFC

National Key Research and Development Program of China

Applied Basic Research Project of Sichuan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09992168.pdf?arnumber=9992168

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4. Adam: A method for stochastic optimization;kingma;Proc 3rd Int Conf Learn Represent (ICLR),2015

5. Multi-Dimensional Image Recovery via Fully-Connected Tensor Network Decomposition Under the Learnable Transforms

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