Interpretación de imágenes de satélite con técnicas de machine learning para el monitoreo de cultivos
Currently is generated a plethora of information useful for several areas of interest. However, a big amount of data requires a considerable increase in effort to be analyzed. Consequently, is proposed the development of an applicative to automaticly interpret the spectral bands of satelital images...
- Autores:
-
Barragán Agudelo, Anderson
Diaz Mujica, Sebastián Danilo
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2020
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/51505
- Acceso en línea:
- http://hdl.handle.net/1992/51505
- Palabra clave:
- Imágenes de detección a distancia
Procesamiento de imágenes
Aprendizaje automático (Inteligencia artificial)
Cultivos--Innovaciones tecnológicas
Ingeniería
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
| Summary: | Currently is generated a plethora of information useful for several areas of interest. However, a big amount of data requires a considerable increase in effort to be analyzed. Consequently, is proposed the development of an applicative to automaticly interpret the spectral bands of satelital images using machine learning techniques and accurately classify these images. |
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