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...

Full description

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)