Segmentation and classification of SAR imagery on flood zones in Colombia, a computing tool for disaster prevention
In order to prevent natural flood disasters it important to identify the flood areas. In Colombia, there is space to develop automatic tools able to detect and study flood areas. For this reason, in this work we propose a computational tool in MATLAB, able to detect and classify Colombia’s flood zon...
- Autores:
-
Avendaño Pérez, Jonathan
Parra Plazas, Jaime Alberto
Bayona, Jhon Fredy
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2014
- Institución:
- Universidad Antonio Nariño
- Repositorio:
- Repositorio UAN
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uan.edu.co:123456789/3936
- Acceso en línea:
- http://revistas.uan.edu.co/index.php/ingeuan/article/view/365
http://repositorio.uan.edu.co/handle/123456789/3936
- Palabra clave:
- SAR
Classification
Segmentation
flood areas imagery
SAR
Clasificación
Segmentación
imágenes de zonas de inundación
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)