GNSS vector quality modelling combining Isolation Forest and Independent Vortices Search
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.measurement.2021.110455 http://hdl.handle.net/11449/229994 |
Resumo: | Estimating the quality of GNSS vectors is decisive in planning GNSS networks and in several land surveying activities. These vectors are indirectly present in many civil infrastructures usually in the first stages of constructions and thus of high importance. In this research we assembled over 1000 baselines producing an extensive database with over 170,000 processed vectors. We propose a novel identification of outlying GNSS vectors based on the Isolation Forest (IF) algorithm based on the vectors deviations. And a new procedure to build linear models based on metaheuristics and a penalty function. The linear regressions presented models with a coefficient of determination R2 up to 0.996. The observation time span variable remained in all equations at least twice, showing its importance for the outcome quality of a vector. Overall, the three-dimensional deviation of vectors processed with broadcast ephemeris is 2.4 times higher than for precise ephemerides. |
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Repositório Institucional da UNESP |
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GNSS vector quality modelling combining Isolation Forest and Independent Vortices SearchGNSS vectorsIndependent Vortices SearchIsolation ForestMetaheuristicsModellingOutlier detectionEstimating the quality of GNSS vectors is decisive in planning GNSS networks and in several land surveying activities. These vectors are indirectly present in many civil infrastructures usually in the first stages of constructions and thus of high importance. In this research we assembled over 1000 baselines producing an extensive database with over 170,000 processed vectors. We propose a novel identification of outlying GNSS vectors based on the Isolation Forest (IF) algorithm based on the vectors deviations. And a new procedure to build linear models based on metaheuristics and a penalty function. The linear regressions presented models with a coefficient of determination R2 up to 0.996. The observation time span variable remained in all equations at least twice, showing its importance for the outcome quality of a vector. Overall, the three-dimensional deviation of vectors processed with broadcast ephemeris is 2.4 times higher than for precise ephemerides.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Graduate Program in Applied Computing Unisinos University, Av. Unisinos, 950Department of Civil Construction Federal Institute of Santa CatarinaGraduate Program in Geodetic Sciences Federal University of ParanáInstitute of Geography Federal University of UberlandiaGraduate Program in Remote Sensing Federal University of Rio Grande do SulSão Paulo State University UNESP, Presidente PrudenteSão Paulo State University UNESP, Presidente PrudenteCAPES: 001Unisinos UniversityFederal Institute of Santa CatarinaFederal University of ParanáUniversidade Federal de Uberlândia (UFU)Federal University of Rio Grande do SulUniversidade Estadual Paulista (UNESP)Koch, Ismael É.Klein, IvandroGonzaga, LuizRofatto, Vinicius F.Matsuoka, Marcelo T.Monico, João F.G. [UNESP]Veronez, Maurício R.2022-04-29T08:36:56Z2022-04-29T08:36:56Z2022-02-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.measurement.2021.110455Measurement: Journal of the International Measurement Confederation, v. 189.0263-2241http://hdl.handle.net/11449/22999410.1016/j.measurement.2021.1104552-s2.0-85120436207Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMeasurement: Journal of the International Measurement Confederationinfo:eu-repo/semantics/openAccess2024-06-18T18:18:15Zoai:repositorio.unesp.br:11449/229994Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:18:47.908293Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
GNSS vector quality modelling combining Isolation Forest and Independent Vortices Search |
title |
GNSS vector quality modelling combining Isolation Forest and Independent Vortices Search |
spellingShingle |
GNSS vector quality modelling combining Isolation Forest and Independent Vortices Search Koch, Ismael É. GNSS vectors Independent Vortices Search Isolation Forest Metaheuristics Modelling Outlier detection |
title_short |
GNSS vector quality modelling combining Isolation Forest and Independent Vortices Search |
title_full |
GNSS vector quality modelling combining Isolation Forest and Independent Vortices Search |
title_fullStr |
GNSS vector quality modelling combining Isolation Forest and Independent Vortices Search |
title_full_unstemmed |
GNSS vector quality modelling combining Isolation Forest and Independent Vortices Search |
title_sort |
GNSS vector quality modelling combining Isolation Forest and Independent Vortices Search |
author |
Koch, Ismael É. |
author_facet |
Koch, Ismael É. Klein, Ivandro Gonzaga, Luiz Rofatto, Vinicius F. Matsuoka, Marcelo T. Monico, João F.G. [UNESP] Veronez, Maurício R. |
author_role |
author |
author2 |
Klein, Ivandro Gonzaga, Luiz Rofatto, Vinicius F. Matsuoka, Marcelo T. Monico, João F.G. [UNESP] Veronez, Maurício R. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Unisinos University Federal Institute of Santa Catarina Federal University of Paraná Universidade Federal de Uberlândia (UFU) Federal University of Rio Grande do Sul Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Koch, Ismael É. Klein, Ivandro Gonzaga, Luiz Rofatto, Vinicius F. Matsuoka, Marcelo T. Monico, João F.G. [UNESP] Veronez, Maurício R. |
dc.subject.por.fl_str_mv |
GNSS vectors Independent Vortices Search Isolation Forest Metaheuristics Modelling Outlier detection |
topic |
GNSS vectors Independent Vortices Search Isolation Forest Metaheuristics Modelling Outlier detection |
description |
Estimating the quality of GNSS vectors is decisive in planning GNSS networks and in several land surveying activities. These vectors are indirectly present in many civil infrastructures usually in the first stages of constructions and thus of high importance. In this research we assembled over 1000 baselines producing an extensive database with over 170,000 processed vectors. We propose a novel identification of outlying GNSS vectors based on the Isolation Forest (IF) algorithm based on the vectors deviations. And a new procedure to build linear models based on metaheuristics and a penalty function. The linear regressions presented models with a coefficient of determination R2 up to 0.996. The observation time span variable remained in all equations at least twice, showing its importance for the outcome quality of a vector. Overall, the three-dimensional deviation of vectors processed with broadcast ephemeris is 2.4 times higher than for precise ephemerides. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-29T08:36:56Z 2022-04-29T08:36:56Z 2022-02-15 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.measurement.2021.110455 Measurement: Journal of the International Measurement Confederation, v. 189. 0263-2241 http://hdl.handle.net/11449/229994 10.1016/j.measurement.2021.110455 2-s2.0-85120436207 |
url |
http://dx.doi.org/10.1016/j.measurement.2021.110455 http://hdl.handle.net/11449/229994 |
identifier_str_mv |
Measurement: Journal of the International Measurement Confederation, v. 189. 0263-2241 10.1016/j.measurement.2021.110455 2-s2.0-85120436207 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Measurement: Journal of the International Measurement Confederation |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129307993702400 |