dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorDal-Poz, Aluir P.
dc.creatorVale, Giovane M.D.O.
dc.creatorZanin, Rodrigo B.
dc.date2014-05-27T11:21:36Z
dc.date2016-10-25T18:21:03Z
dc.date2014-05-27T11:21:36Z
dc.date2016-10-25T18:21:03Z
dc.date2005-09-01
dc.date.accessioned2017-04-06T01:14:25Z
dc.date.available2017-04-06T01:14:25Z
dc.identifierAnais da Academia Brasileira de Ciencias, v. 77, n. 3, p. 509-520, 2005.
dc.identifier0001-3765
dc.identifierhttp://hdl.handle.net/11449/68383
dc.identifierhttp://acervodigital.unesp.br/handle/11449/68383
dc.identifier10.1590/S0001-37652005000300011
dc.identifierS0001-37652005000300011
dc.identifierWOS:000231309500011
dc.identifier2-s2.0-24344438242.pdf
dc.identifier2-s2.0-24344438242
dc.identifierhttp://dx.doi.org/10.1590/S0001-37652005000300011
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/889727
dc.descriptionThis article presents an automatic methodology for extraction of road seeds from high-resolution aerial images. The method is based on a set of four road objects and another set of connection rules among road objects. Each road object is a local representation of an approximately straight road fragment and its construction is based on a combination of polygons describing all relevant image edges, according to some rules embodying road knowledge. Each one of the road seeds is composed by a sequence of connected road objects, in which each sequence of this type can be geometrically structured as a chain of contiguous quadrilaterals. Experiments carried out with high-resolution aerial images showed that the proposed methodology is very promising in extracting road seeds. This article presents the fundamentals of the method and the experimental results, as well.
dc.languageeng
dc.relationAnais da Academia Brasileira de Ciências
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDigital photogrammetry
dc.subjectRoad extraction
dc.subjectRoad objects
dc.subjectRoad seeds
dc.titleAutomatic extraction of road seeds from high-resolution aerial images
dc.typeOtro


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