Analysis of Satellite Images Using Deep Learning Techniques and Remotely Piloted Aircraft for a Detailed Description of Tertiary Roads

This document presents the results of a proof of concept for describing with more detail the social and complementary infrastructure around the tertiary roads of the Taminango region in the department of Nariño, Colombia. A dataset with samples of free satellite images from Google Maps and OpenStree...

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Autores:

Tipo de recurso:

Fecha de publicación:

2021

Institución:

Universidad Pedagógica y Tecnológica de Colombia

Repositorio:

RiUPTC: Repositorio Institucional UPTC

Idioma:

eng

OAI Identifier:

oai:repositorio.uptc.edu.co:001/14323

Acceso en línea:

https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13816
https://repositorio.uptc.edu.co/handle/001/14323

Palabra clave:

tertiary roads
satellite images
deep learning
remotely piloted aircraft
community participation
augmented reality
vías terciarias
imágenes satelitales
aprendizaje profundo
aeronaves remotamente pilotadas
participación comunitaria
realidad aumentada

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License

http://creativecommons.org/licenses/by/4.0