A Self-Supervised Spaceborne Multispectral and Hyperspectral Image Fusion Unrolling Network-Reference-Cited by-同舟云学术

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A Self-Supervised Spaceborne Multispectral and Hyperspectral Image Fusion Unrolling Network

Published:2024 Issue: Volume:62 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhu Zengliang¹,Wang Xinyu²^ORCID,Li Guanzhong³,Zhong Yanfei¹^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

3. Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

LIESMARS Special Research Funding

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10555311.pdf?arnumber=10555311

Reference59 articles.

1. Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion

2. Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks

3. Language-Aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification

4. The Earth Observing One (EO-1) Satellite Mission: Over a Decade in Space

5. Study on ground object classification based on the hyperspectral fusion images of ZY-1(02D) satellite

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