Detection of highways in high resolution images using Mathematical Morphology techniques

Detalhes bibliográficos
Autor(a) principal: Ishikawa, A. S. [UNESP]
Data de Publicação: 2007
Outros Autores: Silva, E. A. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/70207
Resumo: This paper seeks to apply a routine for highways detection through the mathematical morphology tools in high resolution image. The Mathematical Morphology theory consists of describing structures geometric presents quantitatively in the image (targets or features). This explains the use of the Mathematical Morphology in this work. As high resolution images will be used, the largest difficulty in the highways detection process is the presence of trees and automobiles in the borders tracks. Like this, for the obtaining of good results through the use of morphologic tools was necessary to choose the structuring element appropriately to be used in the functions. Through the appropriate choice of the morphologic operators and structuring elements it was possible to detect the highways tracks. The linear feature detection using mathematical morphology techniques, can contribute in cartographic applications, as cartographic products updating.
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spelling Detection of highways in high resolution images using Mathematical Morphology techniquesCartographic featureDigital processing imageFeatures detectionHigh resolution imagesMathematical morphologyRemote sensingDetection processFeatures detectionsHigh resolution imageLinear featureMathematical morphology theoriesMorphologic operatorsStructuring elementObservatoriesPlanningSustainable developmentToolsThis paper seeks to apply a routine for highways detection through the mathematical morphology tools in high resolution image. The Mathematical Morphology theory consists of describing structures geometric presents quantitatively in the image (targets or features). This explains the use of the Mathematical Morphology in this work. As high resolution images will be used, the largest difficulty in the highways detection process is the presence of trees and automobiles in the borders tracks. Like this, for the obtaining of good results through the use of morphologic tools was necessary to choose the structuring element appropriately to be used in the functions. Through the appropriate choice of the morphologic operators and structuring elements it was possible to detect the highways tracks. The linear feature detection using mathematical morphology techniques, can contribute in cartographic applications, as cartographic products updating.UNESP São Paulo State University, 305 Roberto Simonsen St., 19060-900UNESP São Paulo State University, 305 Roberto Simonsen St., 19060-900Universidade Estadual Paulista (Unesp)Ishikawa, A. S. [UNESP]Silva, E. A. [UNESP]2014-05-27T11:22:45Z2014-05-27T11:22:45Z2007-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectProceedings, 32nd International Symposium on Remote Sensing of Environment: Sustainable Development Through Global Earth Observations.http://hdl.handle.net/11449/702072-s2.0-8488001953691035450045071350000-0002-7069-0479Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings, 32nd International Symposium on Remote Sensing of Environment: Sustainable Development Through Global Earth Observationsinfo:eu-repo/semantics/openAccess2021-10-23T21:37:49Zoai:repositorio.unesp.br:11449/70207Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:37:49Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Detection of highways in high resolution images using Mathematical Morphology techniques
title Detection of highways in high resolution images using Mathematical Morphology techniques
spellingShingle Detection of highways in high resolution images using Mathematical Morphology techniques
Ishikawa, A. S. [UNESP]
Cartographic feature
Digital processing image
Features detection
High resolution images
Mathematical morphology
Remote sensing
Detection process
Features detections
High resolution image
Linear feature
Mathematical morphology theories
Morphologic operators
Structuring element
Observatories
Planning
Sustainable development
Tools
title_short Detection of highways in high resolution images using Mathematical Morphology techniques
title_full Detection of highways in high resolution images using Mathematical Morphology techniques
title_fullStr Detection of highways in high resolution images using Mathematical Morphology techniques
title_full_unstemmed Detection of highways in high resolution images using Mathematical Morphology techniques
title_sort Detection of highways in high resolution images using Mathematical Morphology techniques
author Ishikawa, A. S. [UNESP]
author_facet Ishikawa, A. S. [UNESP]
Silva, E. A. [UNESP]
author_role author
author2 Silva, E. A. [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Ishikawa, A. S. [UNESP]
Silva, E. A. [UNESP]
dc.subject.por.fl_str_mv Cartographic feature
Digital processing image
Features detection
High resolution images
Mathematical morphology
Remote sensing
Detection process
Features detections
High resolution image
Linear feature
Mathematical morphology theories
Morphologic operators
Structuring element
Observatories
Planning
Sustainable development
Tools
topic Cartographic feature
Digital processing image
Features detection
High resolution images
Mathematical morphology
Remote sensing
Detection process
Features detections
High resolution image
Linear feature
Mathematical morphology theories
Morphologic operators
Structuring element
Observatories
Planning
Sustainable development
Tools
description This paper seeks to apply a routine for highways detection through the mathematical morphology tools in high resolution image. The Mathematical Morphology theory consists of describing structures geometric presents quantitatively in the image (targets or features). This explains the use of the Mathematical Morphology in this work. As high resolution images will be used, the largest difficulty in the highways detection process is the presence of trees and automobiles in the borders tracks. Like this, for the obtaining of good results through the use of morphologic tools was necessary to choose the structuring element appropriately to be used in the functions. Through the appropriate choice of the morphologic operators and structuring elements it was possible to detect the highways tracks. The linear feature detection using mathematical morphology techniques, can contribute in cartographic applications, as cartographic products updating.
publishDate 2007
dc.date.none.fl_str_mv 2007-12-01
2014-05-27T11:22:45Z
2014-05-27T11:22:45Z
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, 32nd International Symposium on Remote Sensing of Environment: Sustainable Development Through Global Earth Observations.
http://hdl.handle.net/11449/70207
2-s2.0-84880019536
9103545004507135
0000-0002-7069-0479
identifier_str_mv Proceedings, 32nd International Symposium on Remote Sensing of Environment: Sustainable Development Through Global Earth Observations.
2-s2.0-84880019536
9103545004507135
0000-0002-7069-0479
url http://hdl.handle.net/11449/70207
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings, 32nd International Symposium on Remote Sensing of Environment: Sustainable Development Through Global Earth Observations
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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_ 1799965643974377472

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