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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Universidad de Antioquia
2014-08-01
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Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
Subjects: | |
Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/17254 |