Atmosphere between an object and a satellite detector is the most important element, which decided about the radiation registered by satellite sensor. However, atmospheric correction is mostly neglected during satellite image processing. It’s implicated by fact that to estimate the influence of atmospheric conditions, a lot of different meteorological parameters and model of atmosphere are needed. In case of archived images gathering this kind of data is often difficult or even impossible. Therefore standard atmosphere models which described average atmospheric conditions on different areas are used. In some application atmospheric correction is not needed (i.e. qualitative analyses, visual interpretation) but for quantitative analyses or multitemporal analyses this correction is very important to obtain correct results. This article presents results of researches on influence of atmospheric correction on the process of multispectral classification. It was found that classification of atmospheric corrected images make better classes delimitation possible.

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