DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY
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/11449/196092 |
Resumo: | The cartographic products of Brazil are around 30 years outdated.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. |
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Repositório Institucional da UNESP |
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DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGYMathematical MorphologyCartographic FeaturesUpdateDigital Image ProcessingRemote SensingThe cartographic products of Brazil are around 30 years outdated.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.UNESP, FCT, Dept Cartog, Rua Roberto Simonsen 305,Campus Univ, BR-19060900 Presidente Prudente, SP, BrazilUNESP, FCT, Dept Cartog, Rua Roberto Simonsen 305,Campus Univ, BR-19060900 Presidente Prudente, SP, BrazilInt Inst Informatics & SystemicsUniversidade Estadual Paulista (Unesp)Stroppa, Raquel Grando [UNESP]Leonardi, Fabricio [UNESP]Silva, Erivaldo Antonio da [UNESP]Baralt, J.Callaos, N.Chu, H. W.Ferrer, J.Lesso, W.Savoie, M. J.2020-12-10T19:33:04Z2020-12-10T19:33:04Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject99-101Imeti 2010: 3rd International Multi-conference On Engineering And Technological Innovation, Vol Ii (post-conference Edition). Orlando: Int Inst Informatics & Systemics, p. 99-101, 2010.http://hdl.handle.net/11449/196092WOS:000391342900020Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengImeti 2010: 3rd International Multi-conference On Engineering And Technological Innovation, Vol Ii (post-conference Edition)info:eu-repo/semantics/openAccess2024-06-18T15:02:40Zoai:repositorio.unesp.br:11449/196092Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:51:08.383103Repositório 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] Mathematical Morphology Cartographic Features Update Digital Image Processing Remote Sensing |
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] Silva, Erivaldo Antonio da [UNESP] Baralt, J. Callaos, N. Chu, H. W. Ferrer, J. Lesso, W. Savoie, M. J. |
author_role |
author |
author2 |
Leonardi, Fabricio [UNESP] Silva, Erivaldo Antonio da [UNESP] Baralt, J. Callaos, N. Chu, H. W. Ferrer, J. Lesso, W. Savoie, M. J. |
author2_role |
author author author author author author 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] Silva, Erivaldo Antonio da [UNESP] Baralt, J. Callaos, N. Chu, H. W. Ferrer, J. Lesso, W. Savoie, M. J. |
dc.subject.por.fl_str_mv |
Mathematical Morphology Cartographic Features Update Digital Image Processing Remote Sensing |
topic |
Mathematical Morphology Cartographic Features Update Digital Image Processing Remote Sensing |
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 |
2010-01-01 2020-12-10T19:33:04Z 2020-12-10T19:33:04Z |
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 |
Imeti 2010: 3rd International Multi-conference On Engineering And Technological Innovation, Vol Ii (post-conference Edition). Orlando: Int Inst Informatics & Systemics, p. 99-101, 2010. http://hdl.handle.net/11449/196092 WOS:000391342900020 |
identifier_str_mv |
Imeti 2010: 3rd International Multi-conference On Engineering And Technological Innovation, Vol Ii (post-conference Edition). Orlando: Int Inst Informatics & Systemics, p. 99-101, 2010. WOS:000391342900020 |
url |
http://hdl.handle.net/11449/196092 |
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, Vol Ii (post-conference Edition) |
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.publisher.none.fl_str_mv |
Int Inst Informatics & Systemics |
publisher.none.fl_str_mv |
Int Inst Informatics & Systemics |
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_ |
1808129366458105856 |