Cross-diffusion based filtering as pre-processing step for remote sensing procedures.

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Cuesta, E., Quintano, C., Fernández-Manso, A. (2020) - Cross-diffusion based filtering as pre-processing step for remote sensing procedures. - Advances in Engineering Software

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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SCI: 
SI
Tipo de Publicación: 
Volumen: 
140

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