中文摘要：

在深入分析海域多源重力数据观测技术特性的基础上，提出了基于双权因子的多源数据网格化一步融合处理方法，以及基于分步平差、拟合、推估和内插相结合的多步融合处理方法，并通过实际算例验证了两种解析融合处理方法的有效性。

英文摘要：

Nowadays, extensive marine gravity measurements, airborne gravity measure- ments and satellite gravity data exist for sea areas, and can be combined to build a precise digital gravity model. Based on a brief analysis of multi-source gravity data characteristics, we propose two new analytical methods for optimal combination of the marine, airborne and satellite gravity data. The first new method is called one-step fusion processing, in which an interpolation model is used to grid the multi-source gravity data with a double weight factor. The other new method is called multi-step fusion processing, in which the data management procedure is modified to a four step process based on the theories of adjustment, filtering, prediction and interpolation. When compared to the traditional statistical methods, such as Least Square Collocation, using these two new approaches can simplify data fusion proce- dures , with stabile and reliable computation results. Finally, a practical marine gravity measurement and a satellite gravity data set are used as a case study to demonstrate the effi- ciency of these proposed analytical data fusion processing methods.