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 enhances 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 emerging the high variability of targets presents in such images. From the computational point of view, the use of
equations is favored by the large number of numerical methods showed in the
literature. Many of the models are considered non-complex both from
the mathematical and computationalstandpoints, 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 Sao Paulo (SP), Brazil. The results are
promising and show the high potential of using mathematical morphology in the
field of cartography.
Cite this paper
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