Digital classification of cloud masses from weather imagery using machine learning algorithms

Digital classification of cloud masses from weather imagery using machine learning algorithms

Accurate identification of precipitating clouds is a challenging task. In the present work, Support Vector Machines, Decision Trees and Random Forests algorithms were applied to discriminate between precipitating clouds and non-precipitating clouds from a satellite weather image GOES-13 covering th...

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Bibliographic Details
Main Authors: Salomón Einstein Ramírez-Fernández, Iván Alberto Lizarazo-Salcedo
Format: Article
Language:English
Published: Universidad de Antioquia 2014-08-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
machine learning algorithms
weather images
decision trees
support vector machines
random forests
loud mass classification
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/17254

Internet

https://revistas.udea.edu.co/index.php/ingenieria/article/view/17254

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