Patent ID: 8649553
Filing Date: 2014-02-11
Classification: G01W,G06T

Abstract:
1. A method of predicting a trend of a meteorological system on the basis of data originating from a meteorological radar, said data taking the form of at least two successive gray level images, a gray level scale corresponding to a scale of the values of the data, said method comprising at least the following steps: a first step of extracting gray level skeletons from the images, said skeletons modeling forms represented on the images, the step of extracting gray level skeletons identifying characteristic points indicative of the geometry of the forms as well as gray level local extrema of the images; a second step of associating characteristic data indicative of the state of the meteorological system with the gray level local extrema points; a third step of pairing each gray level skeleton of the two successive images; a step of predicting future positions of the forms of the last of the two successive images, providing a predicted image by using the pairing; a step of predicting a trend of convective cells of the meteorological system, said convective cells being represented by gray level local extrema on an image, said step of predicting the trend of convective cells using the pairing to construct trend functions for the convective cells by estimating time derivatives of characteristic data indicative of the state of the meteorological system at the points representing gray level local extrema in the predicted image; and a step of representing the information originating from the step of predicting a trend of convective cells and from the step of predicting future positions of forms.