(1. 中南大学 有色金属成矿预测教育部重点实验室，长沙 410083；
2. 中南大学 地球科学与信息物理学院，长沙 410083；2. 长沙五维地科勘察技术有限责任公司，长沙 410205)
摘 要: 针对矩形网格化方法和传统三角网格化方法的不足，提出一种三角网逆生长网格化方法。该方法首先根据离散物探数据的特点提取数据边界，然后以边界作为基础由外向内逆向生长构建三角网。应用某测区的EH4电磁测深数据进行网格化及可视化分析。实验结果表明：该方法能够在当前数据条件下智能地生成高质量的不规则三角网，且边界拟合算法简单精确，可以为后续的数据可视化和资料处理解释提供良好的基础。
关键字: 物探数据；网格化；三角网；生长算法
creating triangular mesh of geophysical data
（1. Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Ministry of Education,
Central South University, Changsha 410083, China;
2. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
3. Changsha 5D Geo-survey & Technical Co., Ltd., Changsha 410205, China）
Abstract:To solve those problems existed in rectangular grid and triangular mesh method, an inverse growth algorithm for the geophysical data was presented. According to the characteristics of discrete geophysical data, the data boundary was extracted first, and then triangular mesh was generated from outside to inside by using the boundary as the basis. This algorithm was used to triangulation and visualization analysis of an EH4 sounding profile data. The result states that, high-quality irregular triangular mesh can be generated automatically, and the data boundary is fitted easily and accurately, a good foundation is provided for data visualization and data processing.
Key words: geophysical data; gridding; triangular mesh; growth algorithm
