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Clasificación de uso y cobertura del suelo a través de algoritmos de aprendizaje automático: revisión bibliográfica

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Clasificación de uso y cobertura del suelo a través de algoritmos de aprendizaje automático: revisión bibliográfica

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Tobar-Díaz, R.; Gao, Y.; Mas, JF.; Cambrón-Sandoval, VH. (2023). Clasificación de uso y cobertura del suelo a través de algoritmos de aprendizaje automático: revisión bibliográfica. Revista de Teledetección. (62):1-19. https://doi.org/10.4995/raet.2023.19014

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Título: Clasificación de uso y cobertura del suelo a través de algoritmos de aprendizaje automático: revisión bibliográfica
Otro titulo: Classification of land use and land cover through machine learning algorithms: a literature review
Autor: Tobar-Díaz, René Gao, Yan Mas, Jean François Cambrón-Sandoval, Víctor Hugo
Fecha difusión:
Resumen:
[EN] Methodologies for land use and land cover (LULC) classification have demonstrated significant advances in recent years, such as the incorporation of machine learning (ML) classification techniques, which have gained ...[+]


[ES] Los métodos para la clasificación de uso y cobertura del suelo (UCS) han mostrado avances importantes en los últimos años, como la incorporación de las técnicas de aprendizaje automático (machine learning-ML) que han ...[+]
Palabras clave: Land cover , Land use , Random forest , Support vector machine , Artificial neural network , Decision trees , Machine learning , Aprendizaje automático , Uso del suelo , Cobertura del suelo , Bosque aleatorio , Máquina de soporte de vectores , Redes neuronales artificiales , Árboles de decisión
Derechos de uso: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Fuente:
Revista de Teledetección. (issn: 1133-0953 ) (eissn: 1988-8740 )
DOI: 10.4995/raet.2023.19014
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/raet.2023.19014
Tipo: Artículo

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