Dual Learning-Based Graph Neural Network for Remote Sensing Image Super-Resolution
Author:
Affiliation:
1. School of Computer Science and the Hubei Key Laboratory of Intelligent Geo Information Processing, China University of Geosciences, Wuhan, China
2. Department of Mathematics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong
Funder
National Natural Science Foundation of China
Hong Kong Scholars Program
Hubei Key Laboratory of Regional Development and Environmental Response
Hubei Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09861602.pdf?arnumber=9861602
Reference63 articles.
1. Enhanced Non-Local Total Variation Model and Multi-Directional Feature Prediction Prior for Single Image Super Resolution
2. Non-Local Kernel Regression for Image and Video Restoration
3. Assessing the Effects of Induced Field Rotation on Water Ice Detection of Tianwen-1 Full-Polarimetric Mars Rover Penetrating Radar
4. Edge-Enhanced GAN for Remote Sensing Image Superresolution
5. Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network
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