DETECTION OF HIGHWAYS IN HIGH RESOLUTION IMAGES USING MATHEMATICAL MORPHOLOGY TECHNIQUES
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/196062 |
Resumo: | This paper seeks to apply 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 ( objectives 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 TECHNIQUESmathematical morphologycartographic featureupdatingdigital image processingremote sensinghigh resolution imagesThis paper seeks to apply 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 ( objectives 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 Sao Paulo State Univ, BR-19060900 Sao Paulo, BrazilUNESP Sao Paulo State Univ, BR-19060900 Sao Paulo, BrazilCopernicus Gesellschaft MbhUniversidade Estadual Paulista (Unesp)Ishikawa, A. S. [UNESP]Silva, E. A. [UNESP]Wagner, W.Szekely, B.2020-12-10T19:32:04Z2020-12-10T19:32:04Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject530-534100 Years Isprs Advancing Remote Sensing Science, Pt 2. Gottingen: Copernicus Gesellschaft Mbh, v. 38, p. 530-534, 2010.2194-9034http://hdl.handle.net/11449/196062WOS:000339410200099Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng100 Years Isprs Advancing Remote Sensing Science, Pt 2info:eu-repo/semantics/openAccess2024-06-18T18:18:37Zoai:repositorio.unesp.br:11449/196062Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:14:48.619366Repositório 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] mathematical morphology cartographic feature updating digital image processing remote sensing high resolution images |
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] Wagner, W. Szekely, B. |
author_role |
author |
author2 |
Silva, E. A. [UNESP] Wagner, W. Szekely, B. |
author2_role |
author author 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] Wagner, W. Szekely, B. |
dc.subject.por.fl_str_mv |
mathematical morphology cartographic feature updating digital image processing remote sensing high resolution images |
topic |
mathematical morphology cartographic feature updating digital image processing remote sensing high resolution images |
description |
This paper seeks to apply 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 ( objectives 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 |
2010 |
dc.date.none.fl_str_mv |
2010-01-01 2020-12-10T19:32:04Z 2020-12-10T19:32:04Z |
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 |
100 Years Isprs Advancing Remote Sensing Science, Pt 2. Gottingen: Copernicus Gesellschaft Mbh, v. 38, p. 530-534, 2010. 2194-9034 http://hdl.handle.net/11449/196062 WOS:000339410200099 |
identifier_str_mv |
100 Years Isprs Advancing Remote Sensing Science, Pt 2. Gottingen: Copernicus Gesellschaft Mbh, v. 38, p. 530-534, 2010. 2194-9034 WOS:000339410200099 |
url |
http://hdl.handle.net/11449/196062 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
100 Years Isprs Advancing Remote Sensing Science, Pt 2 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
530-534 |
dc.publisher.none.fl_str_mv |
Copernicus Gesellschaft Mbh |
publisher.none.fl_str_mv |
Copernicus Gesellschaft Mbh |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808128778823532544 |