SA-JSTN: Self-Attention Joint Spatiotemporal Network for Temperature Forecasting

SA-JSTN: Self-Attention Joint Spatiotemporal Network for Temperature Forecasting

The rapid development of remote sensing technology has brought abundant data support for deep learning based temperature forecasting research. However, recently proposed methods usually focus on the temporal relationship among temperature observation information, whereas ignore the spatial positions...

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Bibliographic Details
Main Authors: Lukui Shi, Nanying Liang, Xia Xu, Tao Li, Zhou Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Long short-term memory (LSTM)
self-attention
spatiotemporal prediction
temperature forecasting
Online Access:https://ieeexplore.ieee.org/document/9537602/

Internet

https://ieeexplore.ieee.org/document/9537602/

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