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Positional Quality Assessment of Orthophotos Obtained from Sensors Onboard Multi-Rotor UAV Platforms

In this study we explored the positional quality of orthophotos obtained by an unmanned aerial vehicle (UAV). A multi-rotor UAV was used to obtain images using a vertically mounted digital camera. The flight was processed taking into account the photogrammetry workflow: perform the aerial triangulat...

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Autores principales: Mesas-Carrascosa, Francisco Javier, Rumbao, Inmaculada Clavero, Berrocal, Juan Alberto Barrera, Porras, Alfonso García-Ferrer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299019/
https://www.ncbi.nlm.nih.gov/pubmed/25587877
http://dx.doi.org/10.3390/s141222394
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author Mesas-Carrascosa, Francisco Javier
Rumbao, Inmaculada Clavero
Berrocal, Juan Alberto Barrera
Porras, Alfonso García-Ferrer
author_facet Mesas-Carrascosa, Francisco Javier
Rumbao, Inmaculada Clavero
Berrocal, Juan Alberto Barrera
Porras, Alfonso García-Ferrer
author_sort Mesas-Carrascosa, Francisco Javier
collection PubMed
description In this study we explored the positional quality of orthophotos obtained by an unmanned aerial vehicle (UAV). A multi-rotor UAV was used to obtain images using a vertically mounted digital camera. The flight was processed taking into account the photogrammetry workflow: perform the aerial triangulation, generate a digital surface model, orthorectify individual images and finally obtain a mosaic image or final orthophoto. The UAV orthophotos were assessed with various spatial quality tests used by national mapping agencies (NMAs). Results showed that the orthophotos satisfactorily passed the spatial quality tests and are therefore a useful tool for NMAs in their production flowchart.
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spelling pubmed-42990192015-01-26 Positional Quality Assessment of Orthophotos Obtained from Sensors Onboard Multi-Rotor UAV Platforms Mesas-Carrascosa, Francisco Javier Rumbao, Inmaculada Clavero Berrocal, Juan Alberto Barrera Porras, Alfonso García-Ferrer Sensors (Basel) Article In this study we explored the positional quality of orthophotos obtained by an unmanned aerial vehicle (UAV). A multi-rotor UAV was used to obtain images using a vertically mounted digital camera. The flight was processed taking into account the photogrammetry workflow: perform the aerial triangulation, generate a digital surface model, orthorectify individual images and finally obtain a mosaic image or final orthophoto. The UAV orthophotos were assessed with various spatial quality tests used by national mapping agencies (NMAs). Results showed that the orthophotos satisfactorily passed the spatial quality tests and are therefore a useful tool for NMAs in their production flowchart. MDPI 2014-11-26 /pmc/articles/PMC4299019/ /pubmed/25587877 http://dx.doi.org/10.3390/s141222394 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mesas-Carrascosa, Francisco Javier
Rumbao, Inmaculada Clavero
Berrocal, Juan Alberto Barrera
Porras, Alfonso García-Ferrer
Positional Quality Assessment of Orthophotos Obtained from Sensors Onboard Multi-Rotor UAV Platforms
title Positional Quality Assessment of Orthophotos Obtained from Sensors Onboard Multi-Rotor UAV Platforms
title_full Positional Quality Assessment of Orthophotos Obtained from Sensors Onboard Multi-Rotor UAV Platforms
title_fullStr Positional Quality Assessment of Orthophotos Obtained from Sensors Onboard Multi-Rotor UAV Platforms
title_full_unstemmed Positional Quality Assessment of Orthophotos Obtained from Sensors Onboard Multi-Rotor UAV Platforms
title_short Positional Quality Assessment of Orthophotos Obtained from Sensors Onboard Multi-Rotor UAV Platforms
title_sort positional quality assessment of orthophotos obtained from sensors onboard multi-rotor uav platforms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299019/
https://www.ncbi.nlm.nih.gov/pubmed/25587877
http://dx.doi.org/10.3390/s141222394
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