Sentinel-2 60-m Band Super-Resolution Using Hybrid CNN-GPR Model
Author:
Affiliation:
1. Speech and Dialog Laboratory, University POLITEHNICA of Bucharest, Bucharest, Romania
2. Center for Spatial Information, University POLITEHNICA of Bucharest, Bucharest, Romania
Funder
Romanian Ministry of Education and Research, CNCS-UEFISCDI within PNCDI III
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10185047.pdf?arnumber=10185047
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1. Scalable variational Gaussian process classification;hensman;Proc Artif Intell Statist,2015
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3. Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images;wald;Photogramm Eng Remote Sens,1997
4. A CNN-Based Sentinel-2 Image Super-Resolution Method Using Multiobjective Training
5. Gaussian processes for big data;hensman;Proc Conf Uncertainty of Artificial Intelligence,2013
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