Morphological routine proposal to extraction of highways in digital images of high resolution

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorFrigato, R.
dc.creatorSilva, Erivaldo Antonio da
dc.date2014-05-27T11:24:34Z
dc.date2016-10-25T18:28:06Z
dc.date2014-05-27T11:24:34Z
dc.date2016-10-25T18:28:06Z
dc.date2009-12-01
dc.date.accessioned2017-04-06T01:39:41Z
dc.date.available2017-04-06T01:39:41Z
dc.identifierProceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009, p. 1156-1160.
dc.identifierhttp://hdl.handle.net/11449/71456
dc.identifierhttp://acervodigital.unesp.br/handle/11449/71456
dc.identifier2-s2.0-84879913678
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/892449
dc.descriptionThis 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.
dc.languageeng
dc.relationProceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009
dc.rightsinfo:eu-repo/semantics/closedAccess
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 resolution
dc.typeOtro


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