Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings-Reference-Cited by-同舟云学术

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Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
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Author:

Zhang Zhongyang¹,Xu Zhiyang¹,Ahmed Zia²,Salekin Asif³,Rahman Tauhidur¹

Affiliation:

1. University of Massachusetts Amherst

2. University at Buffalo

3. Syracuse University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9707470/9707509/09707530.pdf?arnumber=9707530

Reference57 articles.

1. Deep Hyperspectral Prior: Single-Image Denoising, Inpainting, Super-Resolution

2. PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study

3. Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network

4. Spatial and Spectral Joint Super-Resolution Using Convolutional Neural Network

5. Hyperspectral Pansharpening: A Review

Cited by 2 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 Super-Resolution Meets Deep Learning: A Survey and Perspective;IEEE/CAA Journal of Automatica Sinica;2023-08

2. DRCR Net: Dense Residual Channel Re-calibration Network with Non-local Purification for Spectral Super Resolution;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2022-06

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