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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。
In this paper, the reasonable setting of interpolation points in the process of geophysical observation data gridding is taken as research object, a method of reasonable extraction of gridding parameters based on discrete data distribution feature analysis is proposed. By analyzing the characteristics of the original data such as the direction and density of the original data, this method extracts reasonable gridding parameters from the analysis results. The theoretical model analysis shows that using this parameter can significantly reduce the data distortion. At the same time, some deficiencies in the traditional gridding software are also put forward, and some technical measures to reduce distortion and improve efficiency are put forward by using human-computer interaction and multi-thread parallelism. On this basis, we developed and implemented a grid of intuitive interactive graphical software. Finally, an example of geomagnetism anomaly in Jilin is given. The comparative analysis of different gridding results proves that the proposed method can reduce the data distortion when gridding of gravity and magnetic data and improve the superiority of gridding effect Sex.