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Cloud Type Distinction Based on CNN: An Aid for Short-Term Weather Forecast
Miguel Martin-Abadal, Yolanda Gonzalez-Cid, Joan Roig-Nomura, Jose Jesus Manas, Attila Nagy, Tomas Salom, Carlos Alonso
152 - 159
10.3233/FAIA190118
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 319: Artificial Intelligence Research and Development
Abstract

Meteorology studies the behaviour of atmospheric phenomena in a specific place and time, it is of enormous dynamism and complexity. This paper presents an approach based on a deep semantic neural network that accurately performs a multi-class pixel-wise classification of diverse cloud types, providing information of great value to complement traditional weather assessment techniques. The obtained results suggest that simple web-cams can be of great help for observations that complement traditional data for short-term weather predictions and generations of warnings.

$35.00 / €27.50 / £22.00
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