Detection of highways in high resolution images using Mathematical Morphology techniques
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | |
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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Repositório Institucional da UNESP |
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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/openAccess2024-06-18T18:18:38Zoai:repositorio.unesp.br:11449/70207Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:13:27.439163Repositório 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_ |
1808129500267937792 |