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Insufficient image spatial resolution is a serious limitation in many practical scenarios, especially when acquiring images at a finer scale is infeasible or brings higher costs.
HighRes-net: Recursive fusion for multi-frame super-resolution of satellite imagery
Deudon, M. et al · 2002
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Sentinel-2: ESA’s optical high-resolution mission for GMES operational services
Drusch, M. et al · 2012
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Image super-resolution: The techniques, applications, and future
Yue, L. et al · 2016
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Deep image-to-image transfer applied to resolution enhancement of Sentinel-2 images
Beaulieu, M., Foucher, S., Haberman, D. & Stewart, C · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R., Isola, P., Efros, A. A., Shechtman, E. & Wang, O · 2018
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Evaluating super-resolution reconstruction of satellite images
Benecki, P., Kawulok, M., Kostrzewa, D. & Skonieczny, L · 2018
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Super-resolution of PROBA-V images using convolutional neural networks
Märtens, M., Izzo, D., Krzic, A. & Cox, D · 2019
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On training deep networks for satellite image super-resolution
Kawulok, M. et al · 2019
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Photo-realistic single image super-resolution using a generative adversarial network
Ledig, C., Theis, L., Huszár, F. et al · 2019
Cited alongside, same era.
DeepSUM: Deep neural network for super-resolution of unregistered multitemporal images
Molini, A. B., Valsesia, D., Fracastoro, G. & Magli, E · 2020
Cited alongside, same era.
Learning super-resolution for Sentinel-2 images with real ground truth data from a reference satellite
Galar, M., Sesma, R., Ayala, C., Albizua, L. & Aranda, C · 2020
Cited alongside, same era.
ImagePairs: Realistic super resolution dataset via beam splitter camera rig
Joze, H. R. V. et al · 2020
Cited alongside, same era.
Component divide-and-conquer for real-world image super-resolution
Wei, P. et al · 2020
Cited alongside, same era.
Deep learning for multiple-image super-resolution
NTIRE 2021 challenge on burst super-resolution: Methods and results
Bhat, G., Danelljan, M. & Timofte, R · 2021
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Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data
Kawulok, M., Tarasiewicz, T., Nalepa, J., Tyrna, D. & Kostrzewa, D · 2021
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Real-world single image super-resolution: A brief review
Chen, H. et al · 2022
Closest in time.
Permutation invariance and uncertainty in multitemporal image super-resolution
Valsesia, D. & Magli, E · 2022
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TR-MISR: Multiimage super-resolution based on feature fusion with transformers
An, T. et al · 2022
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Open high-resolution satellite imagery: The WorldStrat dataset – with application to super-resolution
Cornebise, J., Orsolic, I. & Kalaitzis, F · 2022
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Kawulok, M. et al · 2020
Cited alongside, same era.
Multi-image super resolution of remotely sensed images using residual attention deep neural networks
Salvetti, F., Mazzia, V., Khaliq, A. & Chiaberge, M · 2020
Cited alongside, same era.
Razzak, M., Mateo-Garcia, G., Gómez-Chova, L., Gal, Y. & Kalaitzis, F · 2021
Cited alongside, same era.
Closest in time.
A comprehensive review on deep learning based remote sensing image super-resolution methods
Wang, P., Bayram, B. & Sertel, E · 2022
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Rrsgan: Reference-based super-resolution for remote sensing image
Dong, R., Zhang, L. & Fu, H · 2022
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