Satellite image processing and air pollution detection

Environmental sensing is closely related to digital processing of observed signals and images. The paper is devoted to the analysis of mathematical methods allowing for detection of concentration of aerosol particles observed at ground measuring stations and by satellites. The first part of the contribution presents basic methods of two-dimensional interpolation allowing for the estimation of the observed variables over the whole region of interest. The whole paper is focused on satellite images and their processing. Owing to simultaneous observations at different frequencies, it is possible to detect image differences and to compare them to surface measurements. The paper is devoted to the design and verification of algorithms of image denoising including wavelet use and their correlation. General methods studied in the paper allow further image segmentation, feature extraction, classification, detection of the most important sources of pollution, prediction and control of pollution sources