Semi automatic extraction of local roads base on genetic algorithms - doi: 10.4025/actascitechnol.v32i2.4763

Detalhes bibliográficos
Autor(a) principal: Silva, Claudionor Ribeiro
Data de Publicação: 2010
Outros Autores: 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/4763
Resumo: The aim objective of this paper is to present a semi-automatic extraction of local roads. The research is divided in two different phases. In the first one, a method to determine road width is proposed; in the second one, a fitness function for genetic algorithms is proposed. The referred function makes possible the detection of candidate segments for local roads axis. Three digital images are used in conducting the experiments. For the study, the validation of the obtained results was accomplished based on a reference image. The reference image was created through manual vectoring, and an accuracy evaluation was computed based on the following indexes: completeness, correctness and RMS. The obtained results point out the proposed methodology as promising.
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spelling Semi automatic extraction of local roads base on genetic algorithms - doi: 10.4025/actascitechnol.v32i2.4763Extração semiautomática de estradas vicinais com base em algoritmos genéticos - doi: 10.4025/actascitechnol.v32i2.4763road extractiongenetic algorithmsdetection of linear featuresextração de estradas vicinaisalgoritmos genéticosdetecção de feições linearesFotogrametria e Sensoriamento RemotoThe aim objective of this paper is to present a semi-automatic extraction of local roads. The research is divided in two different phases. In the first one, a method to determine road width is proposed; in the second one, a fitness function for genetic algorithms is proposed. The referred function makes possible the detection of candidate segments for local roads axis. Three digital images are used in conducting the experiments. For the study, the validation of the obtained results was accomplished based on a reference image. The reference image was created through manual vectoring, and an accuracy evaluation was computed based on the following indexes: completeness, correctness and RMS. The obtained results point out the proposed methodology as promising.O objetivo deste trabalho é a extração semiautomática de estradas vicinais. Este estudo é dividido em duas fases distintas. Na primeira fase é proposto um método para determinar larguras de estradas; na segunda fase é proposta uma função de aptidão para algoritmos genéticos que possibilita a detecção de segmentos candidatos a eixo de estradas vicinais. Três imagens digitais são usadas na realização dos experimentos. Para o estudo, a validação dos resultados obtidos foi realizada a partir de uma imagem de referência. A imagem de referência foi criada por meio de vetorização manual. O julgamento da acurácia foi computado com base nos índices: completeza, correção e RMS. Os resultados obtidos apontam a metodologia proposta como promissora.Universidade Estadual De Maringá2010-07-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionProcessamento Digital de Imagensapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/476310.4025/actascitechnol.v32i2.4763Acta Scientiarum. Technology; Vol 32 No 2 (2010); 137-145Acta Scientiarum. Technology; v. 32 n. 2 (2010); 137-1451806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/4763/4763Silva, Claudionor RibeiroCenteno, Jorge Antonio Silvainfo:eu-repo/semantics/openAccess2024-05-17T13:03:02Zoai:periodicos.uem.br/ojs:article/4763Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2024-05-17T13:03:02Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Semi automatic extraction of local roads base on genetic algorithms - doi: 10.4025/actascitechnol.v32i2.4763
Extração semiautomática de estradas vicinais com base em algoritmos genéticos - doi: 10.4025/actascitechnol.v32i2.4763
title Semi automatic extraction of local roads base on genetic algorithms - doi: 10.4025/actascitechnol.v32i2.4763
spellingShingle Semi automatic extraction of local roads base on genetic algorithms - doi: 10.4025/actascitechnol.v32i2.4763
Silva, Claudionor Ribeiro
road extraction
genetic algorithms
detection of linear features
extração de estradas vicinais
algoritmos genéticos
detecção de feições lineares
Fotogrametria e Sensoriamento Remoto
title_short Semi automatic extraction of local roads base on genetic algorithms - doi: 10.4025/actascitechnol.v32i2.4763
title_full Semi automatic extraction of local roads base on genetic algorithms - doi: 10.4025/actascitechnol.v32i2.4763
title_fullStr Semi automatic extraction of local roads base on genetic algorithms - doi: 10.4025/actascitechnol.v32i2.4763
title_full_unstemmed Semi automatic extraction of local roads base on genetic algorithms - doi: 10.4025/actascitechnol.v32i2.4763
title_sort Semi automatic extraction of local roads base on genetic algorithms - doi: 10.4025/actascitechnol.v32i2.4763
author Silva, Claudionor Ribeiro
author_facet Silva, Claudionor Ribeiro
Centeno, Jorge Antonio Silva
author_role author
author2 Centeno, Jorge Antonio Silva
author2_role author
dc.contributor.author.fl_str_mv Silva, Claudionor Ribeiro
Centeno, Jorge Antonio Silva
dc.subject.por.fl_str_mv road extraction
genetic algorithms
detection of linear features
extração de estradas vicinais
algoritmos genéticos
detecção de feições lineares
Fotogrametria e Sensoriamento Remoto
topic road extraction
genetic algorithms
detection of linear features
extração de estradas vicinais
algoritmos genéticos
detecção de feições lineares
Fotogrametria e Sensoriamento Remoto
description The aim objective of this paper is to present a semi-automatic extraction of local roads. The research is divided in two different phases. In the first one, a method to determine road width is proposed; in the second one, a fitness function for genetic algorithms is proposed. The referred function makes possible the detection of candidate segments for local roads axis. Three digital images are used in conducting the experiments. For the study, the validation of the obtained results was accomplished based on a reference image. The reference image was created through manual vectoring, and an accuracy evaluation was computed based on the following indexes: completeness, correctness and RMS. The obtained results point out the proposed methodology as promising.
publishDate 2010
dc.date.none.fl_str_mv 2010-07-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Processamento Digital de Imagens
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/4763
10.4025/actascitechnol.v32i2.4763
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/4763
identifier_str_mv 10.4025/actascitechnol.v32i2.4763
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/4763/4763
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 32 No 2 (2010); 137-145
Acta Scientiarum. Technology; v. 32 n. 2 (2010); 137-145
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
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