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

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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Bibliographic Details
Main Authors: Maria-Camila Moreno-Vergara, Brayan-Daniel Sarmiento-Iscala, Fabián-Enrique Casares-Pavia, Yerson-Duvan Angulo-Rodríguez, Danilo-José Morales-Arenales
Format: Article
Language:English
Published: Universidad Pedagógica y Tecnológica de Colombia 2021-12-01
Series:Revista Facultad de Ingeniería
Subjects:
tertiary roads
satellite images
deep learning
remotely piloted aircraft
community participation
augmented reality
Online Access:https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13816

Internet

https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13816

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