Hyperspectral Image Denoising via Clustering-Based Latent Variable in Variational Bayesian Framework-Reference-Cited by-同舟云学术

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Hyperspectral Image Denoising via Clustering-Based Latent Variable in Variational Bayesian Framework

Published:2021-04 Issue:4 Volume:59 Page:3266-3276
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Azimpour Peyman^ORCID,Bahraini Tahereh^ORCID,Yazdi Hadi Sadoghi^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9386007/09386019.pdf?arnumber=9386019

Cited by 14 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. Hyperspectral image restoration using noise gradient and dual priors under mixed noise conditions;CAAI Transactions on Intelligence Technology;2024-08-19

2. Multiscale reweighted smoothing regularization in curvelet domain for hyperspectral image denoising;International Journal of Remote Sensing;2024-06-05

3. Design and Research of Industrial High Availability Character Recognition Technology;2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC);2024-05-24

4. Weighted-type image segmentation model via coupling heat kernel convolution with high-order total variation;Journal of Nonlinear and Variational Analysis;2023-08-01

5. From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images;Remote Sensing;2023-05-29

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