海域多源重力数据融合处理的解析方法  

Analytical Methods of Multi-source Gravity Data Fusion Processing in the Sea Area

作　　者：黄谟涛[1] 欧阳永忠[1,2] 翟国君[1] 刘传勇[1] 

机构地区：[1]海军海洋测绘研究所,天津市友谊路40号300061 [2]武汉大学测绘学院,武汉市珞喻路129号430079

出　　处：《武汉大学学报（信息科学版）》2013年第11期1261-1265,共5页Geomatics and Information Science of Wuhan University

基　　金：国家重大科学仪器设备开发专项资助项目(2011YQ12004503);国家863计划资助项目(2006AA06A202;2009AA121405);国家自然科学基金资助项目(41174062)

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。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.

关 键 词：多源重力数据 融合处理 平差 内插 解析方法 

分 类 号：P229[天文地球—大地测量学与测量工程] P228.41[天文地球—测绘科学与技术]