A Large-Scale Aerial and Satellite Image Dataset for Deep Learning-Based Image Super-Resolution of Very High-Resolution Remote Sensing Imagery

Recently, deep learning-based image super-resolution (SR) has emerged as an effective and cost-efficient solution for obtaining images that surpass the physical limitation of sensors. However, the training datasets commonly used for SR tasks—particularly in remote sensing—are c...

Full description

Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Minkyung Chung, Joonkyu Park, Jungkyu Choi, Hyunyoung Choi, Youkyung Han
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Aerial imagery CAS500-1 deep learning image super-resolution (SR) very high-resolution (VHR) satellite imagery
Online Access:	https://ieeexplore.ieee.org/document/11165097/