Abstract
A compression method for earth observation data according to a chaotic behavior based on Wavelet MRA (Multi-Resolution Analysis) is proposed. The proposed method is examined by using the observed time series data of SST (Sea Surface Temperature) and the SOI (Southern Oscillation Index) data. It is found that the RMS (Root Mean Square) error of the proposed method depends on the support length of the mother wavelet.
