Multi-Source Ocean Gravity Anomaly Data Fusion Processing Method

The ocean gravity field has always been an important part of marine scientific research. Combining ship survey data and satellite data to obtain high-resolution and high-precision gravity data attracts many researchers. In this paper, we present two fusion methods of gravity anomaly data, which are data fusion based on the analysis of error trend surface and the data fusion method based on the combination of net function and fractal interpolation. The experimental results show that the data fusion based on the analysis of error trend surface can effectively improve the effect of data fusion. The data fusion method based on the combination of net function and fractal interpolation is not obvious for accuracy improvement, but it shows great potential in terms of detail.