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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| Format: | Online |
| Language: | eng |
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Universidad Pedagógica y Tecnológica de Colombia
2021
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| Online Access: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13845 |
| _version_ | 1801706094643380224 |
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| author | Pachajoa, Dalila-Mercedes Mora-Paz, Héctor Mayorca-Torres, Dagoberto |
| author_facet | Pachajoa, Dalila-Mercedes Mora-Paz, Héctor Mayorca-Torres, Dagoberto |
| author_sort | Pachajoa, Dalila-Mercedes |
| collection | OJS |
| description | 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 alternative 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. |
| format | Online |
| id | oai:oai.revistas.uptc.edu.co:article-13845 |
| institution | Revista Facultad de Ingeniería |
| language | eng |
| publishDate | 2021 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia |
| record_format | ojs |
| spelling | oai:oai.revistas.uptc.edu.co:article-138452023-05-31T16:25:16Z Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images Comparativo de funciones Kernel en la clasificación de zonas de irradiancia a partir de imágenes satelitales multiespectrales Pachajoa, Dalila-Mercedes Mora-Paz, Héctor Mayorca-Torres, Dagoberto 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 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 alternative 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. Debido a la creciente demanda de energía y al eminente calentamiento global, existe especial interés en la predicción de irradiancia basada en la reflectancia obtenida de satélites como el Landsat de la NASA, ya que permite saber dónde es más eficiente colocar receptores fotovoltaicos. Si bien existen estudios para la obtención de modelos de regresión con funciones Kernel alternativas, se desconoce su desempeño para modelos de clasificación, y es aquí donde se enfoca esta investigación. El estudio combina funciones de Kernel alternativas al algoritmo máquinas de soporte vectorial (SVM) para problemas de clasificación, donde se explora la mejor configuración para estos algoritmos, y así finalmente obtener un conjunto de mapas de irradiancia zonificados por clase. Universidad Pedagógica y Tecnológica de Colombia 2021-12-20 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/xml https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13845 10.19053/01211129.v30.n58.2021.13845 Revista Facultad de Ingeniería; Vol. 30 No. 58 (2021): October-December 2021 (Continuous Publication); e13845 Revista Facultad de Ingeniería; Vol. 30 Núm. 58 (2021): Octubre-Diciembre 2021 (Publicación Continua) ; e13845 2357-5328 0121-1129 eng https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13845/11286 https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13845/11306 Copyright (c) 2021 Dalila-Mercedes Pachajoa, Héctor Mora-Paz, Dagoberto Mayorca-Torres http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | 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 Pachajoa, Dalila-Mercedes Mora-Paz, Héctor Mayorca-Torres, Dagoberto Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images |
| title | Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images |
| title_alt | Comparativo de funciones Kernel en la clasificación de zonas de irradiancia a partir de imágenes satelitales multiespectrales |
| title_full | Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images |
| title_fullStr | Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images |
| title_full_unstemmed | Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images |
| title_short | Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images |
| title_sort | comparison of kernel functions in the classification of irradiance zones from multispectral satellite images |
| topic | 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 |
| topic_facet | 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 |
| url | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13845 |
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