Cloud Detection Challenge-Methods and Results

Cloud Detection Challenge-Methods and Results

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. This initiative was hosted by...

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Bibliographic Details
Main Authors: Alessio Barbaro Chisari, Luca Guarnera, Alessandro Ortis, Wladimiro Carlo Patatu, Bruno Casella, Luca Naso, Giuseppe Puglisi, Vincenzo del Zoppo, Mario Valerio Giuffrida, Sebastiano Battiato
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Binary classification
ceilometers
cloud detection challenge
computer vision
deep learning
LIDAR
Online Access:https://ieeexplore.ieee.org/document/10934992/
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