【摘要】 本文以地球物理观测数据网格化过程中插值点位的合理设置为研究对象,提出了一种基于离散数据分布特征分析的网格化参数合理提取方法技术。该方法通过对原始数据作走向、疏密等特征分析,从分析结果中提取合理的网格化参数,通过理论模型分析表明使用该参数能够显著减少数据失真。同时针对传统网格化软件中存在的一些不足之处,我们利用人机交互以及多线程并行技术,提出了若干减少失真以及提高效率的技术措施。在此基础上,我们开发实现了一个实用化的直观图形交互方式的网格化软件。最后给出了一个吉林某地磁异常的网格化实例,通过不同网格化结果的对比分析证明了该方法技术在减少重磁数据网格化时的数据失真、提高网格化效果方面的优越性。更多还原

【Abstract】 This paper presents a reasonable gridding-parameters extraction method for setting the optimal interpolation nodes in the gridding of scattered observed data.The method can extract optimized gridding parameters based on the distribution of features in raw data. Modeling analysis proves that distortion caused by gridding can be greatly reduced when using such parameters.We also present some improved technical measures that use human- machine interaction and multi-thread parallel technology to solve inadequacies in traditional gridding software.On the basis of these methods,we have developed software that can be used to grid scattered data using a graphic interface.Finally,a comparison of different gridding parameters on field magnetic data from Ji Lin Province,North China demonstrates the superiority of the proposed method in eliminating the distortions and enhancing gridding efficiency.更多还原