Cartographic update through image digital processing by Mathematical Morphology techniques

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-29T07:11:52Z
dc.date.accessioned2022-12-20T02:23:25Z
dc.date.available2022-04-29T07:11:52Z
dc.date.available2022-12-20T02:23:25Z
dc.date.created2022-04-29T07:11:52Z
dc.date.issued2009-12-01
dc.identifierProceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009, p. 1113-1115.
dc.identifierhttp://hdl.handle.net/11449/227187
dc.identifier2-s2.0-84879913532
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5407322
dc.description.abstractAmongst the many tools of Digital Image Processing - PDI, this work presents the application of the Mathematical Morphology theory (MM), which consists in describing geometric structures in digital images in a quantitative manner using morphologic detectors of edges and afterwards image filtering. Morphological operators' application for the detection of Água Vermelha barrage contours is carried out in this work. It shows results evidencing that MM techniques are successfully applied for features extraction in digital images, especially for calculation of reservoirs' flooded area. Furthermore, Mathematical Morphology theory potential in Cartography is evidenced due to its easy application, low cost and trustworthy results.
dc.languageeng
dc.relationProceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009
dc.sourceScopus
dc.subjectCartographic update
dc.subjectDigital Image Processing
dc.subjectMathematical morphology
dc.subjectRemote sensing
dc.titleCartographic update through image digital processing by Mathematical Morphology techniques
dc.typeActas de congresos


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