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dc.contributor.authorFrigato, R.-
dc.contributor.authorSilva, Erivaldo Antonio da-
dc.date.accessioned2014-05-27T11:24:34Z-
dc.date.accessioned2016-10-25T18:28:06Z-
dc.date.available2014-05-27T11:24:34Z-
dc.date.available2016-10-25T18:28:06Z-
dc.date.issued2009-12-01-
dc.identifier.citationProceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009, p. 1156-1160.-
dc.identifier.urihttp://hdl.handle.net/11449/71456-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/71456-
dc.description.abstractThis research proposes to apply techniques of Mathematics Morphology to extract highways in digital images of high resolution, targeting the upgrade of cartographic products. Remote Sensing data and Mathematical Morphological techniques were integrated in the process of extraction. Mathematical Morphology's objective is to improve and extract the relevant information of the visual image. In order to test the proposed approach some morphological operators related to preprocess, were applied to the original images. Routines were implemented in the MATLAB environment. Results indicated good performances by the implemented operators. The integration of the technologies aimed to implement the semiautomatic extraction of highways with the purpose to use them in processes of cartographic updating.en
dc.format.extent1156-1160-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectCartographic updating-
dc.subjectExtraction-
dc.subjectHigh resolution images-
dc.subjectMathematics morphological-
dc.subjectRemote sensing-
dc.subjectHigh resolution image-
dc.subjectMathematics morphology-
dc.subjectMATLAB environment-
dc.subjectMorphological operator-
dc.subjectOriginal images-
dc.subjectRelevant informations-
dc.subjectRemote sensing data-
dc.subjectMathematical morphology-
dc.subjectImage processing-
dc.titleMorphological routine proposal to extraction of highways in digital images of high resolutionen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationSão Paulo State University Faculty of Sciences and Technology Campus Universitàrio, Rua Roberto Simonsen 305, CEP 19060-900, Presidente Prudente - SP-
dc.description.affiliationUnespSão Paulo State University Faculty of Sciences and Technology Campus Universitàrio, Rua Roberto Simonsen 305, CEP 19060-900, Presidente Prudente - SP-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofProceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009-
dc.identifier.scopus2-s2.0-84879913678-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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