Meteorological structures shape description and tracking by means of BI-RME matching

Images from meteorological satellites or weather radars must be often inter preted at a higher level than simple pixel classification, and shape analys is with reliable and fast methods may be necessary. For instance, it is use ful to analyze the temporal evolution of a rain event by means of a reliabl e tracking of the rain patterns at different scales. However, this task of tracking objects continuously changing their shapes is challenging. In this paper, we show how the application of a recently introduced numeric al technique, called boundary integral-resonant mode expansion (BI-RME), to weather radar and meteorological satellite data could be used to achieve m ore information about the evolution in time of rain patterns or other meteo rological structures of interest. In order to demonstrate the efficiency and robustness of our approach, seve ral examples of image processing are considered in this paper. Applications to both operational tracking of clouds to produce wind fields and hurrican e tracking are presented.