Cartographic update through image digital processing by Mathematical Morphology techniques
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/227187 |
Resumo: | Amongst the many tools of Digital Image Processing - PDI, this work presents the application of the Mathematical Morphology theory (MM), which consists in describing geometric structures in digital images in a quantitative manner using morphologic detectors of edges and afterwards image filtering. Morphological operators' application for the detection of Água Vermelha barrage contours is carried out in this work. It shows results evidencing that MM techniques are successfully applied for features extraction in digital images, especially for calculation of reservoirs' flooded area. Furthermore, Mathematical Morphology theory potential in Cartography is evidenced due to its easy application, low cost and trustworthy results. |
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Cartographic update through image digital processing by Mathematical Morphology techniquesCartographic updateDigital Image ProcessingMathematical morphologyRemote sensingAmongst the many tools of Digital Image Processing - PDI, this work presents the application of the Mathematical Morphology theory (MM), which consists in describing geometric structures in digital images in a quantitative manner using morphologic detectors of edges and afterwards image filtering. Morphological operators' application for the detection of Água Vermelha barrage contours is carried out in this work. It shows results evidencing that MM techniques are successfully applied for features extraction in digital images, especially for calculation of reservoirs' flooded area. Furthermore, Mathematical Morphology theory potential in Cartography is evidenced due to its easy application, low cost and trustworthy results.Faculdade de Ciências e Tecnologia - FCT/UNESP Depto de Cartografia, Roberto Simonsen Street, no 305, CEP 19060-900 -Presidente Prudente - SPFaculdade de Ciências e Tecnologia - FCT/UNESP Depto de Cartografia, Roberto Simonsen Street, no 305, CEP 19060-900 -Presidente Prudente - SPUniversidade Estadual Paulista (UNESP)Stroppa, R. G. [UNESP]Leonardi, F. [UNESP]Frigato, R. [UNESP]Silva, E. [UNESP]2022-04-29T07:11:52Z2022-04-29T07:11:52Z2009-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1113-1115Proceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009, p. 1113-1115.http://hdl.handle.net/11449/2271872-s2.0-84879913532Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009info:eu-repo/semantics/openAccess2024-06-18T15:02:08Zoai:repositorio.unesp.br:11449/227187Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:02:08Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Cartographic update through image digital processing by Mathematical Morphology techniques |
title |
Cartographic update through image digital processing by Mathematical Morphology techniques |
spellingShingle |
Cartographic update through image digital processing by Mathematical Morphology techniques Stroppa, R. G. [UNESP] Cartographic update Digital Image Processing Mathematical morphology Remote sensing |
title_short |
Cartographic update through image digital processing by Mathematical Morphology techniques |
title_full |
Cartographic update through image digital processing by Mathematical Morphology techniques |
title_fullStr |
Cartographic update through image digital processing by Mathematical Morphology techniques |
title_full_unstemmed |
Cartographic update through image digital processing by Mathematical Morphology techniques |
title_sort |
Cartographic update through image digital processing by Mathematical Morphology techniques |
author |
Stroppa, R. G. [UNESP] |
author_facet |
Stroppa, R. G. [UNESP] Leonardi, F. [UNESP] Frigato, R. [UNESP] Silva, E. [UNESP] |
author_role |
author |
author2 |
Leonardi, F. [UNESP] Frigato, R. [UNESP] Silva, E. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Stroppa, R. G. [UNESP] Leonardi, F. [UNESP] Frigato, R. [UNESP] Silva, E. [UNESP] |
dc.subject.por.fl_str_mv |
Cartographic update Digital Image Processing Mathematical morphology Remote sensing |
topic |
Cartographic update Digital Image Processing Mathematical morphology Remote sensing |
description |
Amongst the many tools of Digital Image Processing - PDI, this work presents the application of the Mathematical Morphology theory (MM), which consists in describing geometric structures in digital images in a quantitative manner using morphologic detectors of edges and afterwards image filtering. Morphological operators' application for the detection of Água Vermelha barrage contours is carried out in this work. It shows results evidencing that MM techniques are successfully applied for features extraction in digital images, especially for calculation of reservoirs' flooded area. Furthermore, Mathematical Morphology theory potential in Cartography is evidenced due to its easy application, low cost and trustworthy results. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-12-01 2022-04-29T07:11:52Z 2022-04-29T07:11:52Z |
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. 1113-1115. http://hdl.handle.net/11449/227187 2-s2.0-84879913532 |
identifier_str_mv |
Proceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009, p. 1113-1115. 2-s2.0-84879913532 |
url |
http://hdl.handle.net/11449/227187 |
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 |
1113-1115 |
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_ |
1803045187855843328 |