Discovering similarities in Landsat satellite images using the K-means method

Ariza Colpas Paola Patricia, Oviedo Carrascal Ana Isabel, De La Hoz Franco Emiro

    Producción científica: Contribución a una revistaPonencia publicada en las memorias del evento con ISSNrevisión exhaustiva

    3 Citas (Scopus)


    This article different ways for the treatment and identification of similarities in satellite images. By means of the systematic review of the literature it is possible to know the different existing forms for the treatment of this type of objects and by means of the implementation that is described, the operation of the K-means algorithm is shown to help the segmentation and analysis of characteristics associated to the color. In this type of objects, a descriptive analysis of the results thrown by the method is finally carried out.

    Idioma originalInglés
    Páginas (desde-hasta)129-136
    Número de páginas8
    PublicaciónProcedia Computer Science
    EstadoPublicada - 2020
    Evento11th International Conference on Ambient Systems, Networks and Technologies, ANT 2020 / 3rd International Conference on Emerging Data and Industry 4.0, EDI40 2020 / Affiliated Workshops - Warsaw, Polonia
    Duración: 6 abr. 20209 abr. 2020

    Nota bibliográfica

    Publisher Copyright:
    © 2020 The Authors. Published by Elsevier B.V.All rights reserved.


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