On the Generalization Ability of Data-Driven Models in the Problem of Total Cloud Cover Retrieval
Total Cloud Cover (TCC) retrieval from ground-based optical imagery is a problem that has been tackled by several generations of researchers. The number of human-designed algorithms for the estimation of TCC grows every year. However, there has been no considerable progress in terms of quality, most...
Main Authors: | Mikhail Krinitskiy, Marina Aleksandrova, Polina Verezemskaya, Sergey Gulev, Alexey Sinitsyn, Nadezhda Kovaleva, Alexander Gavrikov |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/2/326 |
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