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

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

    Research output: Contribution to journalConference and proceedingspeer-review

    3 Scopus citations

    Abstract

    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.

    Bibliographical note

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

    Keywords

    • Clustering
    • Multiclustering
    • Multimedia Multidimensional Georreferenced Objects
    • Satellite Images

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