Discovering similarities in Landsat satellite images using the Kmeans method

Date
2020
2020
Author
Ariza Colpas, Paola Patricia
Oviedo Carrascal, Ana Isabel
De-La-Hoz-Franco, Emiro
Metadata
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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.
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