Iterative Low-Rank Network for Hyperspectral Image Denoising-Reference-Cited by-同舟云学术

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Iterative Low-Rank Network for Hyperspectral Image Denoising

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ye Jin¹^ORCID,Xiong Fengchao¹^ORCID,Zhou Jun²^ORCID,Qian Yuntao³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia

3. College of Computer Science, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10645292.pdf?arnumber=10645292

Reference65 articles.

1. Medical hyperspectral imaging: a review

2. Hyperspectral Face Recognition With Spatiospectral Information Fusion and PLS Regression

3. Texture-Aware Self-Attention Model for Hyperspectral Tree Species Classification

4. Sliding Dual-Window-Inspired Reconstruction Network for Hyperspectral Anomaly Detection

5. Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

Cited by 1 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. A Robust SAR-Optical Heterologous Image Registration Method Based on Region-Adaptive Keypoint Selection;Remote Sensing;2024-09-04

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