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Error Analysis of Terrestrial Laser Scanning Data by Means of Spherical Statistics and 3D Graphs
This paper presents a complete analysis of the positional errors of terrestrial laser scanning (TLS) data based on spherical statistics and 3D graphs. Spherical statistics are preferred because of the 3D vectorial nature of the spatial error. Error vectors have three metric elements (one module and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231027/ https://www.ncbi.nlm.nih.gov/pubmed/22163461 http://dx.doi.org/10.3390/s101110128 |
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author | Cuartero, Aurora Armesto, Julia Rodríguez, Pablo G. Arias, Pedro |
author_facet | Cuartero, Aurora Armesto, Julia Rodríguez, Pablo G. Arias, Pedro |
author_sort | Cuartero, Aurora |
collection | PubMed |
description | This paper presents a complete analysis of the positional errors of terrestrial laser scanning (TLS) data based on spherical statistics and 3D graphs. Spherical statistics are preferred because of the 3D vectorial nature of the spatial error. Error vectors have three metric elements (one module and two angles) that were analyzed by spherical statistics. A study case has been presented and discussed in detail. Errors were calculating using 53 check points (CP) and CP coordinates were measured by a digitizer with submillimetre accuracy. The positional accuracy was analyzed by both the conventional method (modular errors analysis) and the proposed method (angular errors analysis) by 3D graphics and numerical spherical statistics. Two packages in R programming language were performed to obtain graphics automatically. The results indicated that the proposed method is advantageous as it offers a more complete analysis of the positional accuracy, such as angular error component, uniformity of the vector distribution, error isotropy, and error, in addition the modular error component by linear statistics. |
format | Online Article Text |
id | pubmed-3231027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32310272011-12-07 Error Analysis of Terrestrial Laser Scanning Data by Means of Spherical Statistics and 3D Graphs Cuartero, Aurora Armesto, Julia Rodríguez, Pablo G. Arias, Pedro Sensors (Basel) Article This paper presents a complete analysis of the positional errors of terrestrial laser scanning (TLS) data based on spherical statistics and 3D graphs. Spherical statistics are preferred because of the 3D vectorial nature of the spatial error. Error vectors have three metric elements (one module and two angles) that were analyzed by spherical statistics. A study case has been presented and discussed in detail. Errors were calculating using 53 check points (CP) and CP coordinates were measured by a digitizer with submillimetre accuracy. The positional accuracy was analyzed by both the conventional method (modular errors analysis) and the proposed method (angular errors analysis) by 3D graphics and numerical spherical statistics. Two packages in R programming language were performed to obtain graphics automatically. The results indicated that the proposed method is advantageous as it offers a more complete analysis of the positional accuracy, such as angular error component, uniformity of the vector distribution, error isotropy, and error, in addition the modular error component by linear statistics. Molecular Diversity Preservation International (MDPI) 2010-11-10 /pmc/articles/PMC3231027/ /pubmed/22163461 http://dx.doi.org/10.3390/s101110128 Text en © 2010 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/3.0/. (http://creativecommons.org/licenses/by/3.0/) ) |
spellingShingle | Article Cuartero, Aurora Armesto, Julia Rodríguez, Pablo G. Arias, Pedro Error Analysis of Terrestrial Laser Scanning Data by Means of Spherical Statistics and 3D Graphs |
title | Error Analysis of Terrestrial Laser Scanning Data by Means of Spherical Statistics and 3D Graphs |
title_full | Error Analysis of Terrestrial Laser Scanning Data by Means of Spherical Statistics and 3D Graphs |
title_fullStr | Error Analysis of Terrestrial Laser Scanning Data by Means of Spherical Statistics and 3D Graphs |
title_full_unstemmed | Error Analysis of Terrestrial Laser Scanning Data by Means of Spherical Statistics and 3D Graphs |
title_short | Error Analysis of Terrestrial Laser Scanning Data by Means of Spherical Statistics and 3D Graphs |
title_sort | error analysis of terrestrial laser scanning data by means of spherical statistics and 3d graphs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231027/ https://www.ncbi.nlm.nih.gov/pubmed/22163461 http://dx.doi.org/10.3390/s101110128 |
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