Effect of Wind Speed on Internal Wave Imaging of Multi-polarimetric Spaceborne SAR

Kelvin, turbulence and internal waves are the three most common wake waves. Internal waves(IWs) are most easily detected because of their long propagation time and wide range. In this paper, the IWs model generated by moving objects and scattering theory are investigated to simulate IWs in SAR images. Since the wind speed acting on the wind-induced sea surface IWs model and the polarization mode acting on the scattering model will affect the SAR imaging of IWs, combining both, we propose a new method to analyze the effect of wind speed on IWs imaging of polarimetric SAR. In the proposed method, the effects of wind speed on individual polarization channels and multi-polarization features are discussed respectively. The two indexes of modulation depth and mean normalized difference are used to evaluate the imaging quality and imaging stability to obtain the optimal polarization features, which are beneficial to improve the accuracy of subsequent IW detection and parameters inversion of submerged object over the conventional analysis methods that only consider the individual polarization channels and imaging effects.