Fabricio Leonardi, Viviane Sampaio Santiago, Carolina Dias Chaves, Erivaldo Antônio da Silva
DOI: 10.4236/jsip.2013.43039   PDF    HTML     4,294 Downloads   5,666 Views   Citations

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 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 partial differential 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 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 Sao Paulo (SP), Brazil. The results are promising and show the high potential of using mathematical morphology in the field of cartography.

Keywords

Extraction Roads; Partial Differential Equations; Mathematical Morphology

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Conflicts of Interest

The authors declare no conflicts of interest.

References

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