Using machine learning techniques to reconstruct the signal observed by the GRACE mission based on AMSR-E microwave data
Viktor Szabó
Department of Geodesy and Geodetic Astronomy, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland
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, Katarzyna Osińska-Skotak
Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland
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et Tomasz Olszak
Department of Geodesy and Geodetic Astronomy, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland
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30 avr. 2024
À propos de cet article
Publié en ligne: 30 avr. 2024
Pages: 80 - 86
Reçu: 20 janv. 2024
Accepté: 21 avr. 2024
DOI: https://doi.org/10.2478/mgrsd-2023-0033
Mots clés
© 2024 Viktor Szabó et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Szabó, Viktor
Department of Geodesy and Geodetic Astronomy, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland
Osińska-Skotak, Katarzyna
Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland
Olszak, Tomasz
Department of Geodesy and Geodetic Astronomy, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland