一种稳定的位场数据最小曲率网格化方法研究  

The research to a stable minimum curvature gridding method in potential data processing

作　　者：王万银[1] 邱之云[1] 

机构地区：[1]长安大学重磁方法技术研究所,长安大学地质工程与测绘学院,长安大学西部矿产资源与地质工程教育部重点实验室,西安710054

出　　处：《地球物理学进展》2011年第6期2003-2010,共8页Progress in Geophysics

基　　金：十五国家科技攻关计划专题(2001BA609A-5-3);国土资源部<高精度航空物探调查>计划项目之"新疆东昆仑祁漫塔格地区1:5万航磁调查"项目(1212010913037)联合资助

摘　　要：在进行位场数据处理和转换之前均要对离散数据进行网格化,网格化的精度直接影响位场处理和转换结果的精度、网格化方法的计算量大小直接影响位场处理和转换结果的效率.本文在已有最小曲率网格化算法的基础上提出了一种稳定的最小曲率网格化算法,该算法不但提高了网格化结果的精度,而且网格化结果受点(线)距大小的影响较小,通过实际资料验证了该方法的稳定性以及效果.All discrete data should be processed with the gridding before the potential field data processing and the conversion. The precision of gridding directly influence on the accuracy of the potential field data processing and conversion results, and the computational of gridding directly affects the efficiency of the potential field data processing and conversion results. In this paper, a stable minimum curvature gridding algorithm has been proposed based on the existing ones, which greatly improved the accuracy of the results, and less affected by the gridding size of point and line spacing. The stability and effectiveness of the method has been verified on the actual data.

关 键 词：最小曲率 网格化 稳定性 

分 类 号：P631[天文地球—地质矿产勘探]