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一种适合多源地球物理数据三维可视化的快速空间索引技术 被引量:5

A fast spatial index method for 3D-visulization of multi-source geophysical data
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摘要 识别复杂地质条件下的地质构造,常需要融合多种地球物理探测技术的数据进行分析,应用地球物理数据三维可视化技术可以更好地解释复杂的地质现象,传统的可视化方法由于缺乏对多源地球物理数据一体化的存储管理与索引机制,使得在对大范围多源地球物理数据进行空间局部更加精细可视化时的效率很低.为了更有效地洞察研究区域的地下构造,本文研究了适合多源地球物理数据三维可视化技术的快速空间索引技术.首先根据各类地球物理数据空间分布特点,提出了一种改进的四叉树结构,用于建立对多源地球物理数据一体化存储与管理.接着利用该数据结构,文章现实了多源地球物理数据快速空间查询的机制.将此结构和机制服务于大规模多源地球物理数据精细尺度下的三维可视化,提高对特定空间范围的局部多源地球物理数据动态可视化的效率.最后给出了该数据结构下空间查询与可视化的效率分析,并通过实验对整个算法的效率进行了验证.实验表明,通过建立相应的索引机制,可在大规模多源地球物理数据条件下更高效地展示任意位置岩矿石多个物理特性之间的空间关系,为多源地球物理数据的三维可视化提供技术支撑. It is widely accepted that the data prospected by multiple geophysical methods are integrated to analyze and recognize the geological structure in complicated geological conditions. The complex geological phenomena could be interpreted better by the 3D-visualization technology of geophysical data. The traditional visualization methods are lack of the integrated mechanisms of storage, management and indexing for multi-source geophysical data, and that will lead very low efficiency when partial of wid^ranged and multi-source geophysical data in space need more precise visualization. In order to insight into the underground structure of the study area more effectively, we have studied a fast spatial indexing method suitable for the 3I)-visulization of multi-source geophysical data in this paper. Firstly, according to the spatial distribution characteristics of various geophysical data, we propose a modifiedquadtree structure to establish the integrated storage and management of multi-source geophysical data. Then, we utilize this data structure to propose a fast spatial searching mechanism of multi-source geophysical data. This structure and mechanism can be used to serve for the fine-scale 3Dvisualization of wide-ranged and multi-source geophysical data, and improve the efficiency of dynamic visualization for partial multi-source geophysical data in specific spatial scope. Finally, the efficiency analysis of spatial searching and visualization under this data structure is given, and the efficiency of the whole algorithms is verified by experiments. The experiments indicate that it can show the spatial relationships of physical properties of rocks and minerals at any location more efficiently under the condition of wide-ranged and multi source geophysical data by establishing corresponding indexing mechanism, and provide a technical support for 3D-visulization of multi-source geophysical data.
出处 《地球物理学进展》 CSCD 北大核心 2013年第3期1626-1636,共11页 Progress in Geophysics
基金 深部探测技术与实验研究专项基金(编号:201011075-5) 国家自然科学基金(编号:40901191)联合资助
关键词 多源地球物理数据 三维可视化 空间索引 重力 磁法 电法 地震 multi source geophysical data, 3D-visualization, spatial index, gravity prospecting, magneticprospecting, electrical prospecting, seismic prospecting
作者简介 花杰,男,1989年生,江苏东台人,硕士研究生,地图制图学与地理信息工程专业,目前主要从事计算机图形学与地学三维可视化方面的研究.(E-Mail:huajie.gis@gmail.com) 芮小平,男,1975年生,江苏苏州人,博士,副教授,硕士研究生导师,研究方向为空间信息可视化.(E-Mail:ruixp@yahoo.com.cn)
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