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A Deep Convolutional Neural Network to Detect the Existence of Geospatial Elements in High-Resolution Aerial Imagery

This paper tackles the problem of object recognition in high-resolution aerial imagery and addresses the application of Deep Learning techniques to solve a challenge related to detecting the existence of geospatial elements (road network) in the available cartographic support. This challenge is addr...

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Main Authors: Calimanut-Ionut Cira, Ramon Alcarria, Miguel-Ángel Manso-Callejo, Francisco Serradilla
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2019-07-01
Series:Proceedings
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Acceso en liña:https://www.mdpi.com/2504-3900/19/1/17
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