Generation of Isolines using GPS/L1L2 data and Artificial Neural Network technique - DOI: 10.4025/actascitechnol.v28i2.1195

Detalhes bibliográficos
Autor(a) principal: Souza, Elaine Cristine Barros de
Data de Publicação: 2008
Outros Autores: Ribeiro, Selma Regina Aranha, Botelho, Mosar Faria, Krueger, Cláudia Pereira, Centeno, Jorge Antonio Silva
Tipo de documento: Artigo
Idioma: por
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/1195
Resumo: The objective of this work is to show an alternative for the interpolation process used in Digital Terrain Modeling. GPS surveying data of a kinematic relative positioning were interpolated by means of Artificial Neural Networks (ANN) algorithm. The performance of the generated gridding was compared to the Inverse Square Distance interpolation algorithm data by means of qualitative (isolines and DTM) and quantitative (residuals) analyses. In conclusion, the tested method is viable if compared to the algorithm Inverse of the Square of a Distance. Therefore, the use of ANN is suitable for the interpolation of GPS data obtained from the L1 and L2 carriers phase processing
id UEM-6_b9f3598f63252375c976611be118e71e
oai_identifier_str oai:periodicos.uem.br/ojs:article/1195
network_acronym_str UEM-6
network_name_str Acta scientiarum. Technology (Online)
repository_id_str
spelling Generation of Isolines using GPS/L1L2 data and Artificial Neural Network technique - DOI: 10.4025/actascitechnol.v28i2.1195Geração de Isolinhas, com dados obtidos por levantamento GPS/L1L2, mediante a técnica de Redes Neurais Artificiais - DOI: 10.4025/actascitechnol.v28i2.1195IsolinhasGPSRedes Neurais ArtificiaisIsolinhasGPSRedes Neurais Artificiais3.01.00.00-3 Engenharia CivilThe objective of this work is to show an alternative for the interpolation process used in Digital Terrain Modeling. GPS surveying data of a kinematic relative positioning were interpolated by means of Artificial Neural Networks (ANN) algorithm. The performance of the generated gridding was compared to the Inverse Square Distance interpolation algorithm data by means of qualitative (isolines and DTM) and quantitative (residuals) analyses. In conclusion, the tested method is viable if compared to the algorithm Inverse of the Square of a Distance. Therefore, the use of ANN is suitable for the interpolation of GPS data obtained from the L1 and L2 carriers phase processingO objetivo deste trabalho é mostrar uma alternativa para o processo de interpolação empregado em Modelagem Digital do Terreno. Utilizando-se dados de levantamentos GPS coletados por meio de posicionamento relativo cinemático realizou-se um processo de interpolação por meio de Redes Neurais Artificiais (RNA). Os resultados foram comparados com os dados obtidos usando-se o algoritmo de interpolação Inverso do Quadrado de uma Distância (IQD) para avaliar o comportamento das grades geradas por meio de análises qualitativas (isolinhas e MDT) e quantitativas (resíduos). Conclui-se que o método testado é viável se comparado com o algoritmo IQD e, portanto, o uso de RNA apresenta-se adequado para a interpolação de dados GPS provenientes do processamento de fase das portadoras L1 e L2Universidade Estadual De Maringá2008-03-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/119510.4025/actascitechnol.v28i2.1195Acta Scientiarum. Technology; Vol 28 No 2 (2006); 205-212Acta Scientiarum. Technology; v. 28 n. 2 (2006); 205-2121806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/1195/707Souza, Elaine Cristine Barros deRibeiro, Selma Regina AranhaBotelho, Mosar FariaKrueger, Cláudia PereiraCenteno, Jorge Antonio Silvainfo:eu-repo/semantics/openAccess2024-05-17T13:02:32Zoai:periodicos.uem.br/ojs:article/1195Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2024-05-17T13:02:32Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Generation of Isolines using GPS/L1L2 data and Artificial Neural Network technique - DOI: 10.4025/actascitechnol.v28i2.1195
Geração de Isolinhas, com dados obtidos por levantamento GPS/L1L2, mediante a técnica de Redes Neurais Artificiais - DOI: 10.4025/actascitechnol.v28i2.1195
title Generation of Isolines using GPS/L1L2 data and Artificial Neural Network technique - DOI: 10.4025/actascitechnol.v28i2.1195
spellingShingle Generation of Isolines using GPS/L1L2 data and Artificial Neural Network technique - DOI: 10.4025/actascitechnol.v28i2.1195
Souza, Elaine Cristine Barros de
Isolinhas
GPS
Redes Neurais Artificiais
Isolinhas
GPS
Redes Neurais Artificiais
3.01.00.00-3 Engenharia Civil
title_short Generation of Isolines using GPS/L1L2 data and Artificial Neural Network technique - DOI: 10.4025/actascitechnol.v28i2.1195
title_full Generation of Isolines using GPS/L1L2 data and Artificial Neural Network technique - DOI: 10.4025/actascitechnol.v28i2.1195
title_fullStr Generation of Isolines using GPS/L1L2 data and Artificial Neural Network technique - DOI: 10.4025/actascitechnol.v28i2.1195
title_full_unstemmed Generation of Isolines using GPS/L1L2 data and Artificial Neural Network technique - DOI: 10.4025/actascitechnol.v28i2.1195
title_sort Generation of Isolines using GPS/L1L2 data and Artificial Neural Network technique - DOI: 10.4025/actascitechnol.v28i2.1195
author Souza, Elaine Cristine Barros de
author_facet Souza, Elaine Cristine Barros de
Ribeiro, Selma Regina Aranha
Botelho, Mosar Faria
Krueger, Cláudia Pereira
Centeno, Jorge Antonio Silva
author_role author
author2 Ribeiro, Selma Regina Aranha
Botelho, Mosar Faria
Krueger, Cláudia Pereira
Centeno, Jorge Antonio Silva
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Souza, Elaine Cristine Barros de
Ribeiro, Selma Regina Aranha
Botelho, Mosar Faria
Krueger, Cláudia Pereira
Centeno, Jorge Antonio Silva
dc.subject.por.fl_str_mv Isolinhas
GPS
Redes Neurais Artificiais
Isolinhas
GPS
Redes Neurais Artificiais
3.01.00.00-3 Engenharia Civil
topic Isolinhas
GPS
Redes Neurais Artificiais
Isolinhas
GPS
Redes Neurais Artificiais
3.01.00.00-3 Engenharia Civil
description The objective of this work is to show an alternative for the interpolation process used in Digital Terrain Modeling. GPS surveying data of a kinematic relative positioning were interpolated by means of Artificial Neural Networks (ANN) algorithm. The performance of the generated gridding was compared to the Inverse Square Distance interpolation algorithm data by means of qualitative (isolines and DTM) and quantitative (residuals) analyses. In conclusion, the tested method is viable if compared to the algorithm Inverse of the Square of a Distance. Therefore, the use of ANN is suitable for the interpolation of GPS data obtained from the L1 and L2 carriers phase processing
publishDate 2008
dc.date.none.fl_str_mv 2008-03-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/1195
10.4025/actascitechnol.v28i2.1195
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/1195
identifier_str_mv 10.4025/actascitechnol.v28i2.1195
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/1195/707
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Technology; Vol 28 No 2 (2006); 205-212
Acta Scientiarum. Technology; v. 28 n. 2 (2006); 205-212
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta scientiarum. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
_version_ 1799315331538223104

Registros relacionados