Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer-Reference-Cited by-同舟云学术

Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer

Published:2022-04 Issue: Volume:108 Page:102731
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Xiao Yi,Yuan Qiangqiang,He Jiang,Zhang Qiang,Sun Jing,Su Xin,Wu Jialian,Zhang Liangpei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference55 articles.

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2. Data–driven classification of landslide types at a national scale by using artificial neural networks;Amato;Int. J. Appl. Earth Obs. Geoinf.,2021

3. Depth-aware video frame interpolation;Bao,2019

4. Memc-net: Motion estimation and motion compensation driven neural network for video interpolation and enhancement;Bao,2019

5. Real-time video super-resolution with spatio-temporal networks and motion compensation;Caballero,2017

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