Results 51 to 60 of about 93,663 (165)

Cloud Detection Challenge-Methods and Results

IEEE Access
Accurate cloud detection is critical for advancing atmospheric monitoring and meteorological forecasting. This paper presents the Cloud Detection Challenge, an initiative aimed at enhancing cloud detection through innovative solutions using lidar-based ceilometer data.
Alessio Barbaro Chisari, Luca Guarnera, Alessandro Ortis, Wladimiro Carlo Patatu, Bruno Casella, Luca Naso, Giuseppe Puglisi, Vincenzo del Zoppo, Mario Valerio Giuffrida, Sebastiano Battiato   +9 more
openaire   +3 more sources

High-resolution cloud detection network

Journal of Electronic Imaging
Journal of Electronic ...
Jingsheng Li, Tianxiang Xue, Jiayi Zhao, Jingmin Ge, Yufang Min, Wei Su, Kun Zhan   +6 more
openaire   +2 more sources

Unbiased High-Precision Cloud Detection for Advanced Himawari Imager Using Automatic Machine Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Clouds play a pivotal role in the global radiation budget and energy cycle, making accurate cloud detection via satellite remote sensing essential for understanding their evolutions.
Bochun Liu, Jinming Ge, Qingyu Mu, Chi Zhang, Xiaoyu Hu, Jiajing Du, Yanyan Wu, Bo Wang, Xiang Li, Jianping Huang, Qiang Fu   +10 more
doaj   +1 more source

AVHRR automated detection of volcanic clouds

International Journal of Remote Sensing, 2005
A new satellite-based technique has recently been proposed which seems suitable for an automatic detection of volcanic clouds in daytime conditions. in this paper the robustness of such a new approach, in particular in detecting early eruptive clouds, is evaluated, on several eruptive events at Mt Etna, by using five years of Advanced Very High ...
Bonfiglio A, Macchiato M, Pergola N, Pietrapertosa C, Tramutoli V   +4 more
openaire   +4 more sources

Utilizing Multilevel Features for Cloud Detection on Satellite Imagery

Remote Sensing, 2018
Cloud detection, which is defined as the pixel-wise binary classification, is significant in satellite imagery processing. In current remote sensing literature, cloud detection methods are linked to the relationships of imagery bands or based on simple ...
Xi Wu, Zhenwei Shi
doaj   +1 more source

Unified ensemble federated learning with cloud computing for online anomaly detection in energy-efficient wireless sensor networks

Journal of Cloud Computing: Advances, Systems and Applications
Anomaly detection in Wireless Sensor Networks (WSNs) is critical for their reliable and secure operation. Optimizing resource efficiency is crucial for reducing energy consumption.
S. Gayathri, D. Surendran
doaj   +1 more source

Cloud Detection of MODIS Multispectral Images

Journal of Atmospheric and Oceanic Technology, 2014
AbstractMethods coming from statistics and pattern recognition to estimate the cloud mask from radiance measured by visible and infrared sensors on board satellites are gaining greater consideration for their ability to properly exploit the increasing number of channels available with current and next-generation sensors. Endowed with physical arguments,
Loredana Murino, Umberto Amato, Maria Francesca Carfora, Anestis Antoniadis, Bormin Huang, W Paul Menzel PhD, Carmine Serio   +6 more
openaire   +3 more sources

A Cloud Detection Method for Vertically Pointing Millimeter-Wavelength Cloud Radar. [PDF]

Sensors (Basel), 2023
Lin H, Wang J, Ge J.
europepmc   +1 more source

On the detection of clouds [PDF]

Atmosphere-Ocean, 1984
A.W. Harrison, C.A. Coombes
openaire   +1 more source

Stray Light Analysis and Suppression of the Visible to Terahertz Integrated Cloud Detection Optical System. [PDF]

Sensors (Basel), 2023
Jiang H, Niu X.
europepmc   +1 more source