DETECTION OF HIGHWAYS IN HIGH RESOLUTION IMAGES USING MATHEMATICAL MORPHOLOGY TECHNIQUES

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorIshikawa, A. S. [UNESP]-
Autor(es): dc.creatorSilva, E. A. [UNESP]-
Autor(es): dc.creatorWagner, W.-
Autor(es): dc.creatorSzekely, B.-
Data de aceite: dc.date.accessioned2022-02-22T00:08:22Z-
Data de disponibilização: dc.date.available2022-02-22T00:08:22Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2010-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196062-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196062-
Descrição: dc.descriptionThis paper seeks to apply 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 ( objectives 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.-
Descrição: dc.descriptionUNESP Sao Paulo State Univ, BR-19060900 Sao Paulo, Brazil-
Descrição: dc.descriptionUNESP Sao Paulo State Univ, BR-19060900 Sao Paulo, Brazil-
Formato: dc.format530-534-
Idioma: dc.languageen-
Publicador: dc.publisherCopernicus Gesellschaft Mbh-
Relação: dc.relation100 Years Isprs Advancing Remote Sensing Science, Pt 2-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectmathematical morphology-
Palavras-chave: dc.subjectcartographic feature-
Palavras-chave: dc.subjectupdating-
Palavras-chave: dc.subjectdigital image processing-
Palavras-chave: dc.subjectremote sensing-
Palavras-chave: dc.subjecthigh resolution images-
Título: dc.titleDETECTION OF HIGHWAYS IN HIGH RESOLUTION IMAGES USING MATHEMATICAL MORPHOLOGY TECHNIQUES-
Aparece nas coleções:Repositório Institucional - Unesp

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