Detection of highways in high resolution images using Mathematical Morphology techniques

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dc.contributor.authorIshikawa, A. S. [UNESP]
dc.contributor.authorSilva, E. A. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:22:45Z
dc.date.available2014-05-27T11:22:45Z
dc.date.issued2007-12-01
dc.description.abstractThis paper seeks to apply a routine for highways detection through the mathematical morphology tools in high resolution image. The Mathematical Morphology theory consists of describing structures geometric presents quantitatively in the image (targets or features). This explains the use of the Mathematical Morphology in this work. As high resolution images will be used, the largest difficulty in the highways detection process is the presence of trees and automobiles in the borders tracks. Like this, for the obtaining of good results through the use of morphologic tools was necessary to choose the structuring element appropriately to be used in the functions. Through the appropriate choice of the morphologic operators and structuring elements it was possible to detect the highways tracks. The linear feature detection using mathematical morphology techniques, can contribute in cartographic applications, as cartographic products updating.en
dc.description.affiliationUNESP São Paulo State University, 305 Roberto Simonsen St., 19060-900
dc.description.affiliationUnespUNESP São Paulo State University, 305 Roberto Simonsen St., 19060-900
dc.identifier.citationProceedings, 32nd International Symposium on Remote Sensing of Environment: Sustainable Development Through Global Earth Observations.
dc.identifier.lattes9103545004507135
dc.identifier.orcid0000-0002-7069-0479
dc.identifier.scopus2-s2.0-84880019536
dc.identifier.urihttp://hdl.handle.net/11449/70207
dc.language.isoeng
dc.relation.ispartofProceedings, 32nd International Symposium on Remote Sensing of Environment: Sustainable Development Through Global Earth Observations
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectCartographic feature
dc.subjectDigital processing image
dc.subjectFeatures detection
dc.subjectHigh resolution images
dc.subjectMathematical morphology
dc.subjectRemote sensing
dc.subjectDetection process
dc.subjectFeatures detections
dc.subjectHigh resolution image
dc.subjectLinear feature
dc.subjectMathematical morphology theories
dc.subjectMorphologic operators
dc.subjectStructuring element
dc.subjectObservatories
dc.subjectPlanning
dc.subjectSustainable development
dc.subjectTools
dc.titleDetection of highways in high resolution images using Mathematical Morphology techniquesen
dc.typeTrabalho apresentado em evento
unesp.author.lattes9103545004507135
unesp.author.orcid0000-0002-7069-0479[2]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências e Tecnologia, Presidente Prudentept

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