Morphological routine proposal to extraction of highways in digital images of high resolution

Detalhes bibliográficos
Autor(a) principal: Frigato, R. [UNESP]
Data de Publicação: 2009
Outros Autores: Silva, Erivaldo Antonio da [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/71456
Resumo: This research proposes to apply techniques of Mathematics Morphology to extract highways in digital images of high resolution, targeting the upgrade of cartographic products. Remote Sensing data and Mathematical Morphological techniques were integrated in the process of extraction. Mathematical Morphology's objective is to improve and extract the relevant information of the visual image. In order to test the proposed approach some morphological operators related to preprocess, were applied to the original images. Routines were implemented in the MATLAB environment. Results indicated good performances by the implemented operators. The integration of the technologies aimed to implement the semiautomatic extraction of highways with the purpose to use them in processes of cartographic updating.
id UNSP_3a8bdd728dae501937a528c4b64d6610
oai_identifier_str oai:repositorio.unesp.br:11449/71456
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Morphological routine proposal to extraction of highways in digital images of high resolutionCartographic updatingExtractionHigh resolution imagesMathematics morphologicalRemote sensingHigh resolution imageMathematics morphologyMATLAB environmentMorphological operatorOriginal imagesRelevant informationsRemote sensing dataMathematical morphologyImage processingThis research proposes to apply techniques of Mathematics Morphology to extract highways in digital images of high resolution, targeting the upgrade of cartographic products. Remote Sensing data and Mathematical Morphological techniques were integrated in the process of extraction. Mathematical Morphology's objective is to improve and extract the relevant information of the visual image. In order to test the proposed approach some morphological operators related to preprocess, were applied to the original images. Routines were implemented in the MATLAB environment. Results indicated good performances by the implemented operators. The integration of the technologies aimed to implement the semiautomatic extraction of highways with the purpose to use them in processes of cartographic updating.São Paulo State University Faculty of Sciences and Technology Campus Universitàrio, Rua Roberto Simonsen 305, CEP 19060-900, Presidente Prudente - SPSão Paulo State University Faculty of Sciences and Technology Campus Universitàrio, Rua Roberto Simonsen 305, CEP 19060-900, Presidente Prudente - SPUniversidade Estadual Paulista (Unesp)Frigato, R. [UNESP]Silva, Erivaldo Antonio da [UNESP]2014-05-27T11:24:34Z2014-05-27T11:24:34Z2009-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1156-1160Proceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009, p. 1156-1160.http://hdl.handle.net/11449/714562-s2.0-8487991367891035450045071350000-0002-7069-0479Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009info:eu-repo/semantics/openAccess2024-06-18T18:18:36Zoai:repositorio.unesp.br:11449/71456Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:17:00.635001Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Morphological routine proposal to extraction of highways in digital images of high resolution
title Morphological routine proposal to extraction of highways in digital images of high resolution
spellingShingle Morphological routine proposal to extraction of highways in digital images of high resolution
Frigato, R. [UNESP]
Cartographic updating
Extraction
High resolution images
Mathematics morphological
Remote sensing
High resolution image
Mathematics morphology
MATLAB environment
Morphological operator
Original images
Relevant informations
Remote sensing data
Mathematical morphology
Image processing
title_short Morphological routine proposal to extraction of highways in digital images of high resolution
title_full Morphological routine proposal to extraction of highways in digital images of high resolution
title_fullStr Morphological routine proposal to extraction of highways in digital images of high resolution
title_full_unstemmed Morphological routine proposal to extraction of highways in digital images of high resolution
title_sort Morphological routine proposal to extraction of highways in digital images of high resolution
author Frigato, R. [UNESP]
author_facet Frigato, R. [UNESP]
Silva, Erivaldo Antonio da [UNESP]
author_role author
author2 Silva, Erivaldo Antonio da [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Frigato, R. [UNESP]
Silva, Erivaldo Antonio da [UNESP]
dc.subject.por.fl_str_mv Cartographic updating
Extraction
High resolution images
Mathematics morphological
Remote sensing
High resolution image
Mathematics morphology
MATLAB environment
Morphological operator
Original images
Relevant informations
Remote sensing data
Mathematical morphology
Image processing
topic Cartographic updating
Extraction
High resolution images
Mathematics morphological
Remote sensing
High resolution image
Mathematics morphology
MATLAB environment
Morphological operator
Original images
Relevant informations
Remote sensing data
Mathematical morphology
Image processing
description This research proposes to apply techniques of Mathematics Morphology to extract highways in digital images of high resolution, targeting the upgrade of cartographic products. Remote Sensing data and Mathematical Morphological techniques were integrated in the process of extraction. Mathematical Morphology's objective is to improve and extract the relevant information of the visual image. In order to test the proposed approach some morphological operators related to preprocess, were applied to the original images. Routines were implemented in the MATLAB environment. Results indicated good performances by the implemented operators. The integration of the technologies aimed to implement the semiautomatic extraction of highways with the purpose to use them in processes of cartographic updating.
publishDate 2009
dc.date.none.fl_str_mv 2009-12-01
2014-05-27T11:24:34Z
2014-05-27T11:24:34Z
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 Proceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009, p. 1156-1160.
http://hdl.handle.net/11449/71456
2-s2.0-84879913678
9103545004507135
0000-0002-7069-0479
identifier_str_mv Proceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009, p. 1156-1160.
2-s2.0-84879913678
9103545004507135
0000-0002-7069-0479
url http://hdl.handle.net/11449/71456
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1156-1160
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_ 1808128340128694272

Registros relacionados