EDH-STNet: An Evaporation Duct Height Spatiotemporal Prediction Model Based on Swin-Unet Integrating Multiple Environmental Information Sources

EDH-STNet: An Evaporation Duct Height Spatiotemporal Prediction Model Based on Swin-Unet Integrating Multiple Environmental Information Sources

Given the significant spatial non-uniformity of marine evaporation ducts, accurately predicting the regional distribution of evaporation duct height (EDH) is crucial for ensuring the stable operation of radio systems. While machine-learning-based EDH prediction models have been extensively developed...

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Bibliographic Details
Main Authors: Hanjie Ji, Lixin Guo, Jinpeng Zhang, Yiwen Wei, Xiangming Guo, Yusheng Zhang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
evaporation duct height
Swin-Unet
environmental information
hydrometeorological parameters (HMPs)
spatiotemporal prediction
Online Access:https://www.mdpi.com/2072-4292/16/22/4227
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