Using Super-Resolution Algorithms for Small Satellite Imagery: A Systematic Review
Author:
Affiliation:
1. Faculty of Civil Engineering and Geodesy, Department of Imagery Intelligence, Military University of Technology, Warszawa, Poland
Funder
Wojskowa Akademia Techniczna
Faculty of Civil Engineering and Geodesy, Military University of Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09757881.pdf?arnumber=9757881
Reference191 articles.
1. Deep Learning-Based Single Image Super-Resolution: An Investigation for Dense Scene Reconstruction with UAS Photogrammetry
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3. Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks
4. Super-Resolution of Sentinel-2 Images Using Convolutional Neural Networks and Real Ground Truth Data
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