GNSS vector quality modelling combining Isolation Forest and Independent Vortices Search

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUnisinos University-
Autor(es): dc.contributorFederal Institute of Santa Catarina-
Autor(es): dc.contributorFederal University of Paraná-
Autor(es): dc.contributorUniversidade Federal de Uberlândia (UFU)-
Autor(es): dc.contributorFederal University of Rio Grande do Sul-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorKoch, Ismael É.-
Autor(es): dc.creatorKlein, Ivandro-
Autor(es): dc.creatorGonzaga, Luiz-
Autor(es): dc.creatorRofatto, Vinicius F.-
Autor(es): dc.creatorMatsuoka, Marcelo T.-
Autor(es): dc.creatorMonico, João F.G.-
Autor(es): dc.creatorVeronez, Maurício R.-
Data de aceite: dc.date.accessioned2025-08-21T21:14:15Z-
Data de disponibilização: dc.date.available2025-08-21T21:14:15Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-02-14-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.measurement.2021.110455-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/229994-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/229994-
Descrição: dc.descriptionEstimating 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.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionGraduate Program in Applied Computing Unisinos University, Av. Unisinos, 950-
Descrição: dc.descriptionDepartment of Civil Construction Federal Institute of Santa Catarina-
Descrição: dc.descriptionGraduate Program in Geodetic Sciences Federal University of Paraná-
Descrição: dc.descriptionInstitute of Geography Federal University of Uberlandia-
Descrição: dc.descriptionGraduate Program in Remote Sensing Federal University of Rio Grande do Sul-
Descrição: dc.descriptionSão Paulo State University UNESP, Presidente Prudente-
Descrição: dc.descriptionSão Paulo State University UNESP, Presidente Prudente-
Descrição: dc.descriptionCAPES: 001-
Idioma: dc.languageen-
Relação: dc.relationMeasurement: Journal of the International Measurement Confederation-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectGNSS vectors-
Palavras-chave: dc.subjectIndependent Vortices Search-
Palavras-chave: dc.subjectIsolation Forest-
Palavras-chave: dc.subjectMetaheuristics-
Palavras-chave: dc.subjectModelling-
Palavras-chave: dc.subjectOutlier detection-
Título: dc.titleGNSS vector quality modelling combining Isolation Forest and Independent Vortices Search-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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