Interpolation Theory and Artificial Intelligence: A Roadmap for Satellite Data Augmentation

Interpolation Theory and Artificial Intelligence: A Roadmap for Satellite Data Augmentation

The analysis and processing of satellite remote sensing data have established new paradigms to observe the Earth and to study climate changes. Data collected by sensors and systems operating across the entire frequency spectrum carry on enormous information content. They enable systematic retrieval...

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Bibliographic Details
Main Authors: Isabella Mereu, Mariarosaria Natale, Michele Piconi, Alessio Troiani, Vincenzo Suriani, Domenico Daniele Bloisi, Paolo Burghignoli, Danilo Costarelli, Alessandro Veneri, Davide Comite
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Remote sensing
Interpolation
Mathematical models
Artificial intelligence
Machine learning
Neural networks
Online Access:https://ieeexplore.ieee.org/document/11027406/
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https://ieeexplore.ieee.org/document/11027406/

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