Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images

Dalila-Mercedes Pachajoa, Héctor Mora-Paz, Dagoberto Mayorca-Torres
2021 Revista Facultad de Ingeniería  
Due to the growing energy demand and the eminent global warming, there is special interest in the prediction of irradiance based on the reflectance obtained from satellites such as NASA Landsat, since it allows to know where it is more efficient to place photovoltaic receivers. Although there are studies for obtaining regression models with alternative Kernel functions, their performance for classification models is unknown and it is here where this research focuses. The study couples
more » ... e Kernel functions to the support vector machines (SVM) algorithm for classification problems, where the best configuration for these algorithms is explored to finally obtain a set of irradiance maps zoned by class.
doi:10.19053/01211129.v30.n58.2021.13845 doaj:f95fad9db967428a902fb69c93cbdf60 fatcat:vw6ky5ywqbfhdpm4n7to7ccj4m