FogFusionNet: Coastal Sea Fog Prediction by Using a Multimodal Deep Learning Approach

FogFusionNet: Coastal Sea Fog Prediction by Using a Multimodal Deep Learning Approach

In this study, we designed FogFusionNet, a multimodal sea fog prediction model, that used closed-circuit television (CCTV) images and multivariate time series observation (MTSO) data to predict three visibility classes—Normal visibility, Low visibility, and Sea fog—at 1-h inter...

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Bibliographic Details
Main Authors: Doo-Hwan Son, Minki Chun, Young Taeg Kim, Boonsoon Kang, Kuk Jin Kim, Jin Hyun Han
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Closed-circuit television (CCTV) images
coastal sea fog prediction
multimodal learning
multivariate time series observation data (MTSO)
visibility class
Online Access:https://ieeexplore.ieee.org/document/10530863/
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https://ieeexplore.ieee.org/document/10530863/

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