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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Dettagli Bibliografici
Autori principali:	Moreno-Vergara, Maria-Camila, Sarmiento-Iscala, Brayan-Daniel, Casares-Pavia, Fabián-Enrique, Angulo-Rodríguez, Yerson-Duvan, Morales-Arenales, Danilo-José
Natura:	Online
Lingua:	eng
Pubblicazione:	Universidad Pedagógica y Tecnológica de Colombia 2021
Soggetti:	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
Accesso online:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13816

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