Snakes-based approach for extraction of building roof contours from digital aerial images
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | |
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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Repositório Institucional da UNESP |
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2946 |
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 |