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.
|Número de páginas||8|
|Publicación||Procedia Computer Science|
|Estado||Publicada - 2020|
|Publicado de forma externa||Sí|
|Evento||11th 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. 2020 → 9 abr. 2020
Nota bibliográficaPublisher Copyright:
© 2020 The Authors. Published by Elsevier B.V.All rights reserved.