Unsupervised Image Super-Resolution for High-Resolution Satellite Imagery via Omnidirectional Real-to-Synthetic Domain Translation

Image super-resolution (SR) aims to enhance the spatial resolution of images and overcome the hardware limitations of imaging systems. While deep-learning networks have significantly improved SR performance, obtaining paired low-resolution (LR) and high-resolution (HR) images for supervised learning...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Minkyung Chung, Yongil Kim
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Domain translation high-resolution (HR) satellite imagery image super-resolution (SR) unsupervised learning
Online Access:	https://ieeexplore.ieee.org/document/10844307/