Visibility classification and influencing-factors analysis of airport: A deep learning approach

Z Liu, Y Chen, X Gu, JKW Yeoh, Q Zhang - Atmospheric Environment, 2022 - Elsevier
This paper discusses the visibility classification and influencing-factor analysis of an airport,
which were carried out through a data-driven deep learning approach and multiple …

Recent advancement in haze removal approaches

H Khan, B Xiao, W Li, N Muhammad - Multimedia Systems, 2022 - Springer
Haze and fog are big reasons for road accidents. The haze occurrence in the air lowers the
images quality captured by visible camera sensors. Haze brings inconvenience to numerous …

Fog removal techniques from images: A comparative review and future directions

G Yadav, S Maheshwari… - … international conference on …, 2014 - ieeexplore.ieee.org
Fog, haze and smoke are a big reason of road accidents. Fog reduces contrast level of the
image that affects the visual quality of the image. In field of computer vision visual quality …

Visnet: Deep convolutional neural networks for forecasting atmospheric visibility

A Palvanov, YI Cho - Sensors, 2019 - mdpi.com
Visibility is a complex phenomenon inspired by emissions and air pollutants or by factors,
including sunlight, humidity, temperature, and time, which decrease the clarity of what is …

Real-time image-based air quality estimation by deep learning neural networks

PY Kow, IW Hsia, LC Chang, FJ Chang - Journal of Environmental …, 2022 - Elsevier
Air quality profoundly impacts public health and environmental equity. Efficient and
inexpensive air quality monitoring instruments could be greatly beneficial for human health …

FSO path loss model based on the visibility

R Nebuloni, E Verdugo - IEEE Photonics Journal, 2022 - ieeexplore.ieee.org
Free-space optics (FSO) is attracting renewed attention in the frame of 5G, which demands
wireless backhauling technologies with extremely high data rates over distances up to a few …

AQE-Net: A deep learning model for estimating air quality of Karachi city from mobile images

M Ahmed, Y Shen, M Ahmed, Z Xiao, P Cheng, N Ali… - Remote Sensing, 2022 - mdpi.com
Air quality has a significant influence on the environment and health. Instruments that
efficiently and inexpensively detect air quality could be extremely valuable in detecting air …

[PDF][PDF] Meteorological visibility evaluation on webcam weather image using deep learning features

S Li, H Fu, WL Lo - Int. J. Comput. Theory Eng, 2017 - researchgate.net
The estimation methods of meteorological visibility currently in use on digital image are
mainly based on the meteorological laws and the corresponding features are extracted …

Weathereye-proposal of an algorithm able to classify weather conditions from traffic camera images

K Dahmane, P Duthon, F Bernardin, M Colomb… - Atmosphere, 2021 - mdpi.com
In road environments, real-time knowledge of local weather conditions is an essential
prerequisite for addressing the twin challenges of enhancing road safety and avoiding …

DMRVisNet: Deep multihead regression network for pixel-wise visibility estimation under foggy weather

J You, S Jia, X Pei, D Yao - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Scene perception is essential for driving decision-making and traffic safety. However, fog, as
a kind of common weather, frequently appears in the real world, especially in mountain …