Abstract: Internal wave parameter inversion based on Empirical Mode Decomposition 　Wind, the result of earth rotation and other processes，inaugurate the phenomenon of oceanic internal waves (OIWs), including driving turbulence, affecting nutrient and biomass distribution, and resuspending sediment. Therefore, a good understanding to OIWs’ characters becomes a vital component to enhance its monitoring and utilization. The parameter inversion was conducted in the article for the OIW based on the empirical mode decomposition (EMD) method. The experimental data, the advanced synthetic aperture radar (ASAR) image, was captured in Dongsha Islands surrounding area on July 22, 2011. Considering the formation mechanism of internal waves, two important issues in the EMD method—the curve fitting and end effects—were studied. After comparing different algorithms, the cubic spline interpolation (CSI) was used for curve fitting and the boundary full-wave (BFW) method was applied to inhibit the end effects. Used this inversion method, the internal wave signal was extracted from the ASAR image, the distance of the internal wave between peak and trough was calculated, and the half-width of soliton was obtained as well. In addition, the inversion result is consistent with the previous experimental findings, which indicates the effectiveness of our algorithm. 　

Key words: EMD method, curve fitting, end effects, internal wave parameter