with classical image classification procedures is proposed in the present paper. Such a kind of mathematical
models (CDS) have been theoretically studied in previous works in the context of image processing, however
here they are tested and stressed in very practical instances. In particular, the main contribution of this paper is
the improvement of the classification of satellite images when they are previously filtered by means of a CDS
model. This conclusion is based on a wide and costly experimentation with satellite images of areas damaged by
forest fires and surface coal mining, all of them located in Mediterranean areas. The efficiency of our methodology
is not only in terms of the classification improvement but also in terms of the runtime saving since CDS
based filtering is much less costly than other classical partial differential equations based filtering mathematical
models as for example anisotropic models or higher order ones, always within the framework of nonlinear partial
differential equations.
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