Comparison of maximum likelihood, support vector machines, and random forest techniques in satellite images classification

Context: Nowadays, the images of the Earth surface and the algorithms for their classification are widely available. In particular, the algorithms are promising in the differentiating of cotton crops stages, but it is necessary to establish the capabilities of the different algorithms in order to id...

Descripción completa

Detalles Bibliográficos
Autores Principales: Valero Medina, José Antonio, Alzate Atehortúa, Beatriz Elena
Formato: Artículo (Article)
Lenguaje:Español (Spanish)
Publicado: Universidad Distrital Francisco José de Caldas. Colombia 2019
Acceso en línea: