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Publicação:
DIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGY

dc.contributor.authorStroppa, Raquel Grando [UNESP]
dc.contributor.authorLeonardi, Fabricio [UNESP]
dc.contributor.authorSilva, Erivaldo Antonio da [UNESP]
dc.contributor.authorBaralt, J.
dc.contributor.authorCallaos, N.
dc.contributor.authorChu, H. W.
dc.contributor.authorFerrer, J.
dc.contributor.authorLesso, W.
dc.contributor.authorSavoie, M. J.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T19:33:04Z
dc.date.available2020-12-10T19:33:04Z
dc.date.issued2010-01-01
dc.description.abstractThe cartographic products of Brazil are around 30 years outdated.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.en
dc.description.affiliationUNESP, FCT, Dept Cartog, Rua Roberto Simonsen 305,Campus Univ, BR-19060900 Presidente Prudente, SP, Brazil
dc.description.affiliationUnespUNESP, FCT, Dept Cartog, Rua Roberto Simonsen 305,Campus Univ, BR-19060900 Presidente Prudente, SP, Brazil
dc.format.extent99-101
dc.identifier.citationImeti 2010: 3rd International Multi-conference On Engineering And Technological Innovation, Vol Ii (post-conference Edition). Orlando: Int Inst Informatics & Systemics, p. 99-101, 2010.
dc.identifier.urihttp://hdl.handle.net/11449/196092
dc.identifier.wosWOS:000391342900020
dc.language.isoeng
dc.publisherInt Inst Informatics & Systemics
dc.relation.ispartofImeti 2010: 3rd International Multi-conference On Engineering And Technological Innovation, Vol Ii (post-conference Edition)
dc.sourceWeb of Science
dc.subjectMathematical Morphology
dc.subjectCartographic Features
dc.subjectUpdate
dc.subjectDigital Image Processing
dc.subjectRemote Sensing
dc.titleDIGITAL IMAGE PROCESSING USING TECHNIQUES OF MATHEMATICAL MORPHOLOGYen
dc.typeTrabalho apresentado em evento
dcterms.rightsHolderInt Inst Informatics & Systemics
dspace.entity.typePublication
unesp.author.orcid0000-0002-7069-0479[3]
unesp.departmentCartografia - FCTpt

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