大地测量与地球动力学2013，Vol.33Issue(1)：145-149,5.
点质量模型与最小二乘配置在多源重力数据融合中的应用
APPLICATION OF POINT MASS MODEL AND LEAST SQUARE COLLOCATION IN MULTI-SOURCE GRAVITY DATA FUSION
摘要
Abstract
For the multi-source gravity data, the fusion methods such as Least Square Collocation (LSC) and point mass assumption are studied and then tested within a certain region in Australia with both airborne and ground gravity measurement data. The results show that the accuracy of multi-resolution LSC proposed is ±3.6±10 m/ s2, while that of the least square total collocation is ±8. 4 x 10~5m/s2. The accuracy of four layers point mass model including airborne dada is ±4. 6×10 -5m/s2, while that of the three layers point mass model with ground data only is ±5.6 x 10~5m/s2. And the ill-posed problem in LSC vanishes in the point mass model.关键词
点质量模型/最小二乘配置/多分辨率最小二乘配置/多源重力数据融合/病态性Key words
point mass model/Least Square Collocation (LSC)/multi-resolution LSC/multi-source gravity data fusion/ill-condition分类
天文与地球科学引用本文复制引用
高新兵,李姗姗,李海,张宏伟,王应建..点质量模型与最小二乘配置在多源重力数据融合中的应用[J].大地测量与地球动力学,2013,33(1):145-149,5.基金项目
国家自然科学基金(41274029) （41274029）
解放军信息工程大学测绘学院硕士学位论文创新与创优基金(S20120) （S20120）
