Dos Santos Galvanin, Edinéia Aparecida [UNESP]Silva, Erivaldo Antonio da [UNESP]2014-05-272014-05-272006-12-01Ciencia y Engenharia/ Science and Engineering Journal, v. 15, p. 73-78.0103-944Xhttp://hdl.handle.net/11449/69401The edges detection model by a non-linear anisotropic diffusion, consists in a mathematical model of smoothing based in Partial Differential Equation (PDE), alternative to the conventional low-pass filters. The smoothing model consists in a selective process, where homogeneous areas of the image are smoothed intensely in agreement with the temporal evolution applied to the model. The level of smoothing is related with the amount of undesired information contained in the image, i.e., the model is directly related with the optimal level of smoothing, eliminating the undesired information and keeping selectively the interest features for Cartography area. The model is primordial for cartographic applications, its function is to realize the image preprocessing without losing edges and other important details on the image, mainly airports tracks and paved roads. Experiments carried out with digital images showed that the methodology allows to obtain the features, e.g. airports tracks, with efficiency.73-78porCartographyNon-linear anisotropic diffusionOrbital imagesPartial Differential EquationsRemote SensingDetection modelsDigital imageImage preprocessingOptimal levelPaved roadSelective processTemporal evolutionComputational fluid dynamicsDiffusionImage segmentationLow pass filtersMappingMapsMathematical modelsOptical anisotropyRemote sensingPartial differential equationsArtigoAcesso aberto2-s2.0-779538987402-s2.0-77953898740.pdf91035450045071350000-0002-7069-0479