Discovering similarities in Landsat satellite images using the Kmeans method
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...
- Autores:
-
Ariza Colpas, Paola Patricia
Oviedo Carrascal, Ana Isabel
De-La-Hoz-Franco, Emiro
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6227
- Acceso en línea:
- https://hdl.handle.net/11323/6227
https://doi.org/10.1016/j.procs.2020.03.017
https://repositorio.cuc.edu.co/
- Palabra clave:
- Multiclustering
Multimedia
Multimedia multidimensional georreferenced objects
Satellite images
- Rights
- openAccess
- License
- CC0 1.0 Universal
| Summary: | 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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