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...

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Autores:
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
eng
OAI Identifier:
oai:repositorio.uptc.edu.co:001/14327
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13845
https://repositorio.uptc.edu.co/handle/001/14327
Palabra clave:
Kernel functions
multispectral satellite images
Landsat
Support Vector Machines
Classification
photovoltaic energy
clasificación
energía fotovoltaica
funciones Kernel
imágenes satelitales multiespectrales
Landsat
máquinas de soporte vectorial
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Copyright (c) 2021 Dalila-Mercedes Pachajoa, Héctor Mora-Paz, Dagoberto Mayorca-Torres