Discovering similarities in Landsat satellite images using the Kmeans method
Artículo de revista
2020
Procedia Computer Science
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.
- Artículos científicos [3154]
Descripción:
Discovering similarities in Landsat satellite images using the K-means method.pdf
Título: Discovering similarities in Landsat satellite images using the K-means method.pdf
Tamaño: 669.2Kb
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Título: Discovering similarities in Landsat satellite images using the K-means method.pdf
Tamaño: 669.2Kb
PDFLEER EN FLIP
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