Super-Resolution of Remote Sensing Imagery Using Implicit Degradation Modeling
Author:
Affiliation:
1. Korea Aerospace Research Institute (KARI),National Satellite Operation and Application Center,Republic of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283326.pdf?arnumber=10283326
Reference17 articles.
1. Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks
2. zero-shot;assaf shocher;super-resolution using deep internal learning " in Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit,2018
3. Unpaired Image Super-Resolution Using Pseudo-Supervision
4. Frequency Separation for Real-World Super-Resolution
5. Blind super-resolution kernel estimation using an internal-gan;bell-kligler;Proc Int Conf Neural Inf Process,2019
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