Enhancing PROBA-V Satellite Imagery for Vegetation Monitoring Using FSRCNN-Based Super-Resolution
Author:
Affiliation:
1. Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420829/10420849/10420979.pdf?arnumber=10420979
Reference15 articles.
1. Super-Resolution of Remote Sensing Images based on a Deep Plug-and-Play Framework
2. TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution
3. A Super Resolution Method for Remote Sensing Images Based on Cascaded Conditional Wasserstein GANs
4. HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery;Deudon;ArXiv,2020
5. Remote-sensing image super-resolution using classifier-based generative adversarial networks
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