Estimating the visibility in foggy weather based on meteorological and video data: A Recurrent Neural Network approach

Estimating the visibility in foggy weather based on meteorological and video data: A Recurrent Neural Network approach

Abstract The research of visibility detection in foggy days is of great significance to both road traffic and air transport safety. Based on the meteorological and video data collected from an airport, a deep Recurrent Neural Network (RNN) model was established in this study to predict the visibilit...

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Bibliographic Details
Main Authors: Jian Chen, Ming Yan, Muhammad Rabea Hanzla Qureshi, Keke Geng
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:IET Signal Processing
Subjects:
correlation analysis
data dimension reduction
fourier transform
principal component analysis (PCA)
Recurrent Neural Network (RNN) model
Online Access:https://doi.org/10.1049/sil2.12164
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https://doi.org/10.1049/sil2.12164

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