An Effective Network Integrating Residual Learning and Channel Attention Mechanism for Thin Cloud Removal
Author:
Affiliation:
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09738997.pdf?arnumber=9738997
Reference19 articles.
1. Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets
2. Thin cloud removal with residual symmetrical concatenation network
3. Squeeze-and-excitation networks;jie;IEEE Trans Pattern Anal Mach Intell,2020
4. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
5. Image Super-Resolution Using Very Deep Residual Channel Attention Networks
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