Digital image processing using techniques of mathematical morphology
Autor(a) principal: | |
---|---|
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/11449/227392 |
Resumo: | The cartographic products of Brazil are around 30 years outdated. The present work describes an alternative to diminish this problem by using the coupling of products of Remote Sensing and techniques of mathematical morphology (MM). The images of the Remote Sensing can be considered as a source of data for studies in many areas, such as the cartography, urban planning, agriculture and environment. Such use can be justified by its rapidity, efficiency, regularity in the attainment of data and low cost. In addition, an important component is the technique of Digital Processing of Imagens (DPI). In this work it was used MM theory for extraction of draining and new calculation of the reservoir of the hydroelectric power plant, assigned Mascarenhas de Moraes, located in the Rio Grande River in Minas Gerais State, Brazil. The obtained results are promising and evidenced the great potential of mathematical morphology in the area of cartography. |
id |
UNSP_5d3a42b275240e3507d3877d23fb1299 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/227392 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Digital image processing using techniques of mathematical morphologyCartographic featuresDigital image processingMathematical morphologyRemote sensingUpdateThe cartographic products of Brazil are around 30 years outdated. The present work describes an alternative to diminish this problem by using the coupling of products of Remote Sensing and techniques of mathematical morphology (MM). The images of the Remote Sensing can be considered as a source of data for studies in many areas, such as the cartography, urban planning, agriculture and environment. Such use can be justified by its rapidity, efficiency, regularity in the attainment of data and low cost. In addition, an important component is the technique of Digital Processing of Imagens (DPI). In this work it was used MM theory for extraction of draining and new calculation of the reservoir of the hydroelectric power plant, assigned Mascarenhas de Moraes, located in the Rio Grande River in Minas Gerais State, Brazil. The obtained results are promising and evidenced the great potential of mathematical morphology in the area of cartography.Faculdade de Ciências e Tecnologia - FCT UNESP Depto. de Cartografia, Rua Roberto Simonsen, 305, 19060-900 Presidente Prudente - SPFaculdade de Ciências e Tecnologia - FCT UNESP Depto. de Cartografia, Rua Roberto Simonsen, 305, 19060-900 Presidente Prudente - SPUniversidade Estadual Paulista (UNESP)Stroppa, Raquel Grando [UNESP]Leonardi, Fabricio [UNESP]Da Silva, Erivaldo Antonio [UNESP]2022-04-29T07:12:57Z2022-04-29T07:12:57Z2010-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject99-101IMETI 2010 - 3rd International Multi-Conference on Engineering and Technological Innovation, Proceedings, v. 2, p. 99-101.http://hdl.handle.net/11449/2273922-s2.0-84890825725Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIMETI 2010 - 3rd International Multi-Conference on Engineering and Technological Innovation, Proceedingsinfo:eu-repo/semantics/openAccess2024-06-18T15:02:38Zoai:repositorio.unesp.br:11449/227392Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:47:41.927583Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Digital image processing using techniques of mathematical morphology |
title |
Digital image processing using techniques of mathematical morphology |
spellingShingle |
Digital image processing using techniques of mathematical morphology Stroppa, Raquel Grando [UNESP] Cartographic features Digital image processing Mathematical morphology Remote sensing Update |
title_short |
Digital image processing using techniques of mathematical morphology |
title_full |
Digital image processing using techniques of mathematical morphology |
title_fullStr |
Digital image processing using techniques of mathematical morphology |
title_full_unstemmed |
Digital image processing using techniques of mathematical morphology |
title_sort |
Digital image processing using techniques of mathematical morphology |
author |
Stroppa, Raquel Grando [UNESP] |
author_facet |
Stroppa, Raquel Grando [UNESP] Leonardi, Fabricio [UNESP] Da Silva, Erivaldo Antonio [UNESP] |
author_role |
author |
author2 |
Leonardi, Fabricio [UNESP] Da Silva, Erivaldo Antonio [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Stroppa, Raquel Grando [UNESP] Leonardi, Fabricio [UNESP] Da Silva, Erivaldo Antonio [UNESP] |
dc.subject.por.fl_str_mv |
Cartographic features Digital image processing Mathematical morphology Remote sensing Update |
topic |
Cartographic features Digital image processing Mathematical morphology Remote sensing Update |
description |
The cartographic products of Brazil are around 30 years outdated. The present work describes an alternative to diminish this problem by using the coupling of products of Remote Sensing and techniques of mathematical morphology (MM). The images of the Remote Sensing can be considered as a source of data for studies in many areas, such as the cartography, urban planning, agriculture and environment. Such use can be justified by its rapidity, efficiency, regularity in the attainment of data and low cost. In addition, an important component is the technique of Digital Processing of Imagens (DPI). In this work it was used MM theory for extraction of draining and new calculation of the reservoir of the hydroelectric power plant, assigned Mascarenhas de Moraes, located in the Rio Grande River in Minas Gerais State, Brazil. The obtained results are promising and evidenced the great potential of mathematical morphology in the area of cartography. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-12-01 2022-04-29T07:12:57Z 2022-04-29T07:12:57Z |
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 |
IMETI 2010 - 3rd International Multi-Conference on Engineering and Technological Innovation, Proceedings, v. 2, p. 99-101. http://hdl.handle.net/11449/227392 2-s2.0-84890825725 |
identifier_str_mv |
IMETI 2010 - 3rd International Multi-Conference on Engineering and Technological Innovation, Proceedings, v. 2, p. 99-101. 2-s2.0-84890825725 |
url |
http://hdl.handle.net/11449/227392 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IMETI 2010 - 3rd International Multi-Conference on Engineering and Technological Innovation, Proceedings |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
99-101 |
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_ |
1808128703037702144 |