Multi-resolution missing data interpolation in SST image series

In this paper we address the joint interpolation of missing data and estimation of ocean surface velocities from multi-resolution sea surface satellite observations. A variational assimilation model is proposed. Using synthetic simulation and real SST data, we conducted experiments to evaluate the relevance of the proposed model, in particular the relevance of the fusion of observations at different resolutions and the improvement issued from the consideration of dynamics prior in the assimilation model. Numerical and qualitative results assessed the effectiveness of the proposed methods.