局部连续场下重力基准图插值优选算法

Interpolation Optimization Algorithm for Gravity Reference Map in Local Anomaly Fields

针对传统重力基准图制备中插值算法多、算法选择费时费力的实际,重点研究在局部重力场下插值算法的快速优选问题。结合长期制图的统计数据,利用层次分析法确定权值,并定义了算法优选量化系数——优选度,实现对不同插值算法的快速初步遴选。结果表明,该算法切实提高了特定条件下重力基准图插值算法的选取速度。

In order to build a navigable high-precision gravity reference map efficiently,it is indispensable to improve the precision of the interpolation algorithm,and take its optimization into account.In view of the difficulty of optimizing an efficient interpolation algorithm for gravity reference maps in the various interpolation algorithms,a interpolation optimization algorithm for gravity reference maps in local anomaly fields is put forward.This algorithm realizes preliminary optimizing of the different algorithms by studying long-term data interpolation,determining the weight by means of an analytic hierarchy process,and defining quantitative coefficients of the optimization algorithm（named optimizing degrees）.The experimental results show that the optimization algorithm is operational and that the time to interpolate a gravity reference map is reduced in special conditions.