Local-Global Context-Aware Generative Dual-Region Adversarial Networks for Remote Sensing Scene Image Super-Resolution-Reference-Cited by-同舟云学术

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Local-Global Context-Aware Generative Dual-Region Adversarial Networks for Remote Sensing Scene Image Super-Resolution

Published:2024 Issue: Volume:62 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:

Li Huiting¹,Deng Weihuan²^ORCID,Zhu Qiqi¹^ORCID,Guan Qingfeng¹^ORCID,Luo Jiancheng³

Affiliation:

1. School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

2. School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Open Fund of State Key Laboratory of Remote Sensing Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10403859.pdf?arnumber=10403859

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. A Scene Classification Model Based on Global-Local Features and Attention in Lie Group Space;Remote Sensing;2024-06-25

2. Few-Shot Remote Sensing Scene Classification via Subspace Based on Multiscale Feature Learning;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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