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

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

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 st...

Полное описание

Библиографические подробности
Главные авторы:	Pachajoa, Dalila-Mercedes, Mora-Paz, Héctor, Mayorca-Torres, Dagoberto
Формат:	Online
Язык:	eng
Опубликовано:	Universidad Pedagógica y Tecnológica de Colombia 2021
Предметы:	Kernel functions multispectral satellite images Landsat Support Vector Machines Classification photovoltaic energy clasificación energía fotovoltaica funciones Kernel imágenes satelitales multiespectrales máquinas de soporte vectorial
Online-ссылка:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13845

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