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Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications
Optical image sensors are the most common remote sensing data acquisition devices present in Unmanned Aerial Systems (UAS). In this context, assigning a location in a geographic frame of reference to the acquired image is a necessary task in the majority of the applications. This process is denomina...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780380/ https://www.ncbi.nlm.nih.gov/pubmed/35062577 http://dx.doi.org/10.3390/s22020604 |
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author | Correia, Carlos A. M. Andrade, Fabio A. A. Sivertsen, Agnar Guedes, Ihannah Pinto Pinto, Milena Faria Manhães, Aline Gesualdi Haddad, Diego Barreto |
author_facet | Correia, Carlos A. M. Andrade, Fabio A. A. Sivertsen, Agnar Guedes, Ihannah Pinto Pinto, Milena Faria Manhães, Aline Gesualdi Haddad, Diego Barreto |
author_sort | Correia, Carlos A. M. |
collection | PubMed |
description | Optical image sensors are the most common remote sensing data acquisition devices present in Unmanned Aerial Systems (UAS). In this context, assigning a location in a geographic frame of reference to the acquired image is a necessary task in the majority of the applications. This process is denominated direct georeferencing when ground control points are not used. Despite it applies simple mathematical fundamentals, the complete direct georeferencing process involves much information, such as camera sensor characteristics, mounting measurements, attitude and position of the UAS, among others. In addition, there are many rotations and translations between the different reference frames, among many other details, which makes the whole process a considerable complex operation. Another problem is that manufacturers and software tools may use different reference frames posing additional difficulty when implementing the direct georeferencing. As this information is spread among many sources, researchers may face difficulties on having a complete vision of the method. In fact, there is absolutely no paper in the literature that explain this process in a comprehensive way. In order to supply this implicit demand, this paper presents a comprehensive method for direct georeferencing of aerial images acquired by cameras mounted on UAS, where all required information, mathematical operations and implementation steps are explained in detail. Finally, in order to show the practical use of the method and to prove its accuracy, both simulated and real flights were performed, where objects of the acquired images were georeferenced. |
format | Online Article Text |
id | pubmed-8780380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87803802022-01-22 Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications Correia, Carlos A. M. Andrade, Fabio A. A. Sivertsen, Agnar Guedes, Ihannah Pinto Pinto, Milena Faria Manhães, Aline Gesualdi Haddad, Diego Barreto Sensors (Basel) Article Optical image sensors are the most common remote sensing data acquisition devices present in Unmanned Aerial Systems (UAS). In this context, assigning a location in a geographic frame of reference to the acquired image is a necessary task in the majority of the applications. This process is denominated direct georeferencing when ground control points are not used. Despite it applies simple mathematical fundamentals, the complete direct georeferencing process involves much information, such as camera sensor characteristics, mounting measurements, attitude and position of the UAS, among others. In addition, there are many rotations and translations between the different reference frames, among many other details, which makes the whole process a considerable complex operation. Another problem is that manufacturers and software tools may use different reference frames posing additional difficulty when implementing the direct georeferencing. As this information is spread among many sources, researchers may face difficulties on having a complete vision of the method. In fact, there is absolutely no paper in the literature that explain this process in a comprehensive way. In order to supply this implicit demand, this paper presents a comprehensive method for direct georeferencing of aerial images acquired by cameras mounted on UAS, where all required information, mathematical operations and implementation steps are explained in detail. Finally, in order to show the practical use of the method and to prove its accuracy, both simulated and real flights were performed, where objects of the acquired images were georeferenced. MDPI 2022-01-13 /pmc/articles/PMC8780380/ /pubmed/35062577 http://dx.doi.org/10.3390/s22020604 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Correia, Carlos A. M. Andrade, Fabio A. A. Sivertsen, Agnar Guedes, Ihannah Pinto Pinto, Milena Faria Manhães, Aline Gesualdi Haddad, Diego Barreto Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications |
title | Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications |
title_full | Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications |
title_fullStr | Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications |
title_full_unstemmed | Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications |
title_short | Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications |
title_sort | comprehensive direct georeferencing of aerial images for unmanned aerial systems applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780380/ https://www.ncbi.nlm.nih.gov/pubmed/35062577 http://dx.doi.org/10.3390/s22020604 |
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