A Lightweight Recurrent Aggregation Network for Satellite Video Super-Resolution

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Wang, Han, et al. “A Lightweight Recurrent Aggregation Network for Satellite Video Super-Resolution”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, 2024, pp. 685-9, https://doi.org/10.1109/jstars.2023.3332449.
Wang, H., Li, S., & Zhao, M. (2024). A Lightweight Recurrent Aggregation Network for Satellite Video Super-Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 685-695. https://doi.org/10.1109/jstars.2023.3332449
Wang, Han, Shengyang Li, and Manqi Zhao. “A Lightweight Recurrent Aggregation Network for Satellite Video Super-Resolution”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17 (2024): 685-95. https://doi.org/10.1109/jstars.2023.3332449.
1.
Wang H, Li S, Zhao M. A Lightweight Recurrent Aggregation Network for Satellite Video Super-Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2024;17:685-9.
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Refrences
Title Journal Journal Categories Citations Publication Date
Image restoration by estimating frequency distribution of local patches 2018
SGDR: Stochastic gradient descent with warm restarts 2016
BasicSR: Open source image and video restoration toolbox 2022
Adam: A method for stochastic optimization 2014
10.1109/LGRS.2019.2940483