Abstract
In this letter, a novel scheme for image sequence extrapolation is proposed and demonstrated, particularly for the purpose of near-real-time weather nowcasting during satellite launches. The highlight of this model is its ability to produce a sequence of simulated satellite images extended in time scale, which is very important for forecasting the evolution of a meteorological system. For this, three different models based on spatio-temporal autoregressive technique, discrete Fourier transform, and hybrid approach are developed and tested on an extensive data set of satellite image sequences covering different meteorological conditions.
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