Snakes-based approach for extraction of building roof contours from digital aerial images

Detalhes bibliográficos
Autor(a) principal: Dal Poz, Aluir P.
Data de Publicação: 2012
Outros Autores: Fazan, Antonio J.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/231376
Resumo: This paper presents a method for building roof contour extraction from digital images taken over complex urban scenes. The proposed method is based on a snakes-based energy function that represents building roof contours in digital images, which is optimized by using the dynamic programming (DP) a lgorithm. As most of the building roof contours are characterized by rectilinear sides intercepting at right a ngles, a ppropriate geometrics constraints are enforced into the original snakes energy function. The main advantage of using the DP algorithm for optimizing the proposed snakes-based energy function is its better radius of convergence, when compared to the one that is usually obtained in the original solution based on variational approaches. Experimental evaluation, including visual inspection and numeric analysis, was performed by using real data and the obtained results showed the potentiality of the proposed method for extracting building roof contours from digital images.
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spelling Snakes-based approach for extraction of building roof contours from digital aerial imagesBuilding extractionDynamic programmingImage analysisSnakesThis paper presents a method for building roof contour extraction from digital images taken over complex urban scenes. The proposed method is based on a snakes-based energy function that represents building roof contours in digital images, which is optimized by using the dynamic programming (DP) a lgorithm. As most of the building roof contours are characterized by rectilinear sides intercepting at right a ngles, a ppropriate geometrics constraints are enforced into the original snakes energy function. The main advantage of using the DP algorithm for optimizing the proposed snakes-based energy function is its better radius of convergence, when compared to the one that is usually obtained in the original solution based on variational approaches. Experimental evaluation, including visual inspection and numeric analysis, was performed by using real data and the obtained results showed the potentiality of the proposed method for extracting building roof contours from digital images.Sąo Paulo State University Dept. of Cartography, R. Roberto Simonsen 305Dept. of CartographyDal Poz, Aluir P.Fazan, Antonio J.2022-04-29T08:45:00Z2022-04-29T08:45:00Z2012-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject55-60Accuracy 2012 - Proceedings of the 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, p. 55-60.http://hdl.handle.net/11449/2313762-s2.0-84975678777Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAccuracy 2012 - Proceedings of the 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciencesinfo:eu-repo/semantics/openAccess2024-06-18T15:02:08Zoai:repositorio.unesp.br:11449/231376Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:36:48.972879Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Snakes-based approach for extraction of building roof contours from digital aerial images
title Snakes-based approach for extraction of building roof contours from digital aerial images
spellingShingle Snakes-based approach for extraction of building roof contours from digital aerial images
Dal Poz, Aluir P.
Building extraction
Dynamic programming
Image analysis
Snakes
title_short Snakes-based approach for extraction of building roof contours from digital aerial images
title_full Snakes-based approach for extraction of building roof contours from digital aerial images
title_fullStr Snakes-based approach for extraction of building roof contours from digital aerial images
title_full_unstemmed Snakes-based approach for extraction of building roof contours from digital aerial images
title_sort Snakes-based approach for extraction of building roof contours from digital aerial images
author Dal Poz, Aluir P.
author_facet Dal Poz, Aluir P.
Fazan, Antonio J.
author_role author
author2 Fazan, Antonio J.
author2_role author
dc.contributor.none.fl_str_mv Dept. of Cartography
dc.contributor.author.fl_str_mv Dal Poz, Aluir P.
Fazan, Antonio J.
dc.subject.por.fl_str_mv Building extraction
Dynamic programming
Image analysis
Snakes
topic Building extraction
Dynamic programming
Image analysis
Snakes
description This paper presents a method for building roof contour extraction from digital images taken over complex urban scenes. The proposed method is based on a snakes-based energy function that represents building roof contours in digital images, which is optimized by using the dynamic programming (DP) a lgorithm. As most of the building roof contours are characterized by rectilinear sides intercepting at right a ngles, a ppropriate geometrics constraints are enforced into the original snakes energy function. The main advantage of using the DP algorithm for optimizing the proposed snakes-based energy function is its better radius of convergence, when compared to the one that is usually obtained in the original solution based on variational approaches. Experimental evaluation, including visual inspection and numeric analysis, was performed by using real data and the obtained results showed the potentiality of the proposed method for extracting building roof contours from digital images.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01
2022-04-29T08:45:00Z
2022-04-29T08:45:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Accuracy 2012 - Proceedings of the 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, p. 55-60.
http://hdl.handle.net/11449/231376
2-s2.0-84975678777
identifier_str_mv Accuracy 2012 - Proceedings of the 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, p. 55-60.
2-s2.0-84975678777
url http://hdl.handle.net/11449/231376
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Accuracy 2012 - Proceedings of the 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 55-60
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_ 1808128387964731392

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