An Integrated Framework for Spatiotemporally Merging Multi-Sources Precipitation Based on F-SVD and ConvLSTM

An Integrated Framework for Spatiotemporally Merging Multi-Sources Precipitation Based on F-SVD and ConvLSTM

To improve the accuracy and reliability of precipitation estimation, numerous models based on machine learning technology have been developed for integrating data from multiple sources. However, little attention has been paid to extracting the spatiotemporal correlation patterns between satellite pr...

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Bibliographic Details
Main Authors: Sheng Sheng, Hua Chen, Kangling Lin, Nie Zhou, Bingru Tian, Chong-Yu Xu
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
spatiotemporal fusion
machine learning
multi-source precipitation
ConvLSTM
F-SVD
Online Access:https://www.mdpi.com/2072-4292/15/12/3135

Internet

https://www.mdpi.com/2072-4292/15/12/3135

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