Application of PDE and Mathematical Morphology in the Extraction Validation of the Roads
- 1 Department of the Cartography, Faculdade de Ciências e Tecnologia-FCT/UNESP, Presidente Prudente, Brasil.
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Abstract
The digital images generated by remote sensors often contain noises that are inherent in the process of imaging and transmission. The application of digital processing techniques greatly enhance s the ability to extract information on surface targets from remote sensing data. When digital images are used with high spatial resolution, one of the problems eme rging the high variability of targets present s in such images. From the computa t ional point of view, the use of partial differential equations is favored by the large number of numerical methods showed in the literature. M any of the models are considered non-complex both from the mathematical and computational standpoints, due to the characteristics of explicit equations. This work uses techniques of the partial differential equations (PDE) and mathematical morphology to extract cartographic features in digital images of the remote sensing. The selected study area corresponds to an image containing part of the Mário Covas Ring Road, located in the metropolitan region of S a o Paulo (SP), Brazil. The results are promising and show the high potential of using mathematical morphology in the field of cartography.
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