A review on factors influencing fog formation, classification, forecasting, detection and impacts
K Lakra, K Avishek - Rendiconti Lincei. Scienze Fisiche e Naturali, 2022 - Springer
With the changing climate and environment, the nature of fog has also changed and
because of its impact on humans and other systems, study of fog becomes essential. Hence …
because of its impact on humans and other systems, study of fog becomes essential. Hence …
Sea fog identification from GOCI images using CNN transfer learning models
This study proposes an approaching method of identifying sea fog by using Geostationary
Ocean Color Imager (GOCI) data through applying a Convolution Neural Network Transfer …
Ocean Color Imager (GOCI) data through applying a Convolution Neural Network Transfer …
Dual-branch neural network for sea fog detection in geostationary ocean color imager
Sea fog significantly threatens the safety of maritime activities. This article develops a sea
fog detection dataset (SFDD) and a dual-branch sea fog detection network (DB-SFNet). We …
fog detection dataset (SFDD) and a dual-branch sea fog detection network (DB-SFNet). We …
Detection of dawn sea fog/low stratus using geostationary satellite imagery
L Yi, M Li, S Liu, X Shi, KF Li, J Bendix - Remote Sensing of Environment, 2023 - Elsevier
Traditional satellite-based detection of dawn sea fog/low stratus (SFLS) is difficult because
of the weak reflectivity in the visible at low solar elevation angles and the contamination of …
of the weak reflectivity in the visible at low solar elevation angles and the contamination of …
Automatic detection of daytime sea fog based on supervised classification techniques for fy-3d satellite
Polar-orbiting satellites have been widely used for detecting sea fog because of their wide
coverage and high spatial and spectral resolution. FengYun-3D (FY-3D) is a Chinese …
coverage and high spatial and spectral resolution. FengYun-3D (FY-3D) is a Chinese …
Weakly Supervised Sea Fog Detection in Remote Sensing Images via Prototype Learning
Sea fog detection is a challenging and significant task in the field of remote sensing. Deep
learning-based methods have shown promising potential, but require a large amount of …
learning-based methods have shown promising potential, but require a large amount of …
Automatic nighttime sea fog detection using GOES-16 imagery
M Amani, S Mahdavi, T Bullock, S Beale - Atmospheric Research, 2020 - Elsevier
Accurately detecting sea fog is important for oil and gas operations in the Grand Banks,
Newfoundland and Labrador (NL), Canada. Although the Grand Banks is one of the foggiest …
Newfoundland and Labrador (NL), Canada. Although the Grand Banks is one of the foggiest …
A scse-linknet deep learning model for daytime sea fog detection
X Guo, J Wan, S Liu, M Xu, H Sheng, M Yasir - Remote Sensing, 2021 - mdpi.com
Sea fog is a precarious weather disaster affecting transportation on the sea. The accuracy of
the threshold method for sea fog detection is limited by time and region. In comparison, the …
the threshold method for sea fog detection is limited by time and region. In comparison, the …
基于20 年卫星遥感资料的黄海, 渤海海雾分布季节特征分析
吴晓京， 李三妹， 廖蜜， 曹治强， 王璐， 朱江 - 海洋学报, 2015 - hyxbocean.cn
目前对海上雾分布的认识多基于沿岸测站和海上船舶, 浮标观测, 但这些数据非常稀少,
且存在代表性和数据质量方面的问题, 因此一直缺乏对海雾分布更全面, 清晰的了解 …
且存在代表性和数据质量方面的问题, 因此一直缺乏对海雾分布更全面, 清晰的了解 …
A probability-based daytime algorithm for sea fog detection using GOES-16 imagery
S Mahdavi, M Amani, T Bullock… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Fog is a hazardous weather event that can endanger navigation, aviation, and
transportation. While human has several limitations in detecting and forecasting offshore fog …
transportation. While human has several limitations in detecting and forecasting offshore fog …