Super Resolution Approach for the Satellite Data Based on the Generative Adversarial Networks-Reference-Cited by-同舟云学术

Super Resolution Approach for the Satellite Data Based on the Generative Adversarial Networks

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Lavreniuk Mykola¹,Kussul Nataliia¹,Shelestov Andrii¹,Lavrenyuk Alla²,Shumilo Leonid³

Affiliation:

1. Space Research Institute NASU-SSAU,Kyiv,Ukraine

2. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”,Kyiv,Ukraine

3. University of Maryland,Department of Geographical Sciences,College Park,MD,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884460.pdf?arnumber=9884460

Reference23 articles.

1. Image super-resolution using deep convolutional networks;chao;IEEE Transactions on Pattern Analysis and Machine Intelligence,2015

2. Accurate image super-resolution using very deep convolutional networks;jiwon;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,0

3. Accelerating the super-resolution convolutional neural network;chao;European Conference on Computer Vision,0

4. Real-time single image and video superresolution using an efficient sub-pixel convolutional neural network;wenzhe;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,0

5. Enhanced deep residual networks for single image super-resolution;bee;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops,0

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1. Dynamic Degradation Intensity Estimation for Adaptive Blind Super-Resolution: A Novel Approach and Benchmark Dataset;IEEE Transactions on Circuits and Systems for Video Technology;2024

2. A Survey of Deep Learning for Remote Sensing, Earth Intelligence and Decision Making;Lecture Notes in Electrical Engineering;2024

3. Image Super Resolution Using ESRGAN: A Preliminary Experimental Study;2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET);2023-11-15

4. Generative Adversarial Networks for the Satellite Data Super Resolution Based on the Transformers with Attention;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16