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.
Highlights
With the intense modifications that are occurring in the cities, highways and the agricultural zone, the cartographic update appears as the basic element for the mapping of the perimeters urban and agricultural as well as of the road mesh.In this direction, it is essential to search a way for the accomplishment of these updates, so that the same ones occur in the objective and satisfactory form
The digital images generated by remote sensors often contain noises that are inherent in the process of imaging and transmission
When digital images are used with high spatial resolution, one of the problems emerging the high variability of targets presents in such images
Summary
With the intense modifications that are occurring in the cities, highways and the agricultural zone, the cartographic update appears as the basic element for the mapping of the perimeters urban and agricultural as well as of the road mesh. In this direction, it is essential to search a way for the accomplishment of these updates, so that the same ones occur in the objective and satisfactory form. The extraction of highways using images of remote sensing has been developed in some works in the area of picture processing, contributing to the management of traffic and planning of urban and industrial areas. According to [1], in the area of cartographic sciences, the problem of extraction of features has been of basic importance for over two decades, in the automation of processes of collection of cartographic features, as buildings, rivers, roads, etc.
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