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A Triangular Prism Spatial Interpolation Method for Mapping Geological Property Fields

机译:映射地质属性场的三角棱镜空间插值方法

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Abstract : The spatial interpolation of property fields in 3D, such as the temperature, salinity, and organic content of ocean water, is an active area of research in the applied geosciences. Conventional interpolation methods have not adequately addressed anisotropy in these data. Thus, in our research we considered two interpolation methods based on a triangular prism volume element, as a triangular prism structure best represents directivity, to express the anisotropy inherent in geological property fields. A linear triangular prism interpolation is proposed for layered stratum that achieves a complete continuity based on the volume coordinates of the triangular prism. A triangular prism quadric interpolation (a unit function of a triangular prism spline with 15 nodes) is designed for a smooth transition between adjacent triangular prisms with approximately continuity, expressing the continuity of the entire model. We designed a specific model which accounts for the different spatial correlations in three dimensions. We evaluated the accuracy of our proposed linear and triangular prism quadric interpolation methods with traditional inverse distance weighting (IDW) and kriging interpolation approaches in comparative experiments. The results show that, in 3D geological modeling, the linear and quadric triangular prism interpolations more accurately represent the changes in the property values of the layered strata than the IDW and kriging interpolation methods. Furthermore, the triangular prism quadric interpolation algorithm with 15 nodes outperforms the other methods. This study of triangular prism interpolation algorithms has implications for the expression of data fields with 3D properties. Moreover, our novel approach will contribute to spatial attribute prediction and representation and is applicable to all 3D geographic information; for example, in studies of atmospheric circulation, ocean circulation, water temperature, salinity, and three-dimensional pollutant diffusion.
机译:摘要:3D属性域的空间插值,例如温度,盐度和海水中的有机物含量,是应用地球科学领域的活跃研究领域。传统的插值方法尚未充分解决这些数据中的各向异性。因此,在我们的研究中,我们考虑了两种基于三角棱镜体元的插值方法,因为三角棱镜结构最能代表方向性,以表达地质属性场中固有的各向异性。提出了一种用于分层地层的线性三角棱镜插值方法,该插值基于三角棱镜的体积坐标实现了完整的连续性。设计了三角棱镜二次插值(具有15个节点的三角棱镜样条的单位函数),用于近似连续地在相邻三角棱镜之间进行平滑过渡,从而表示整个模型的连续性。我们设计了一个特定的模型,该模型考虑了三个维度上的不同空间相关性。在比较实验中,我们使用传统的逆距离加权(IDW)和克里格插值方法评估了我们提出的线性和三角棱镜二次插值方法的准确性。结果表明,在3D地质建模中,线性和二次三角棱镜插值比IDW和kriging插值方法更准确地表示分层地层属性值的变化。此外,具有15个节点的三角棱镜二次插值算法优于其他方法。三角棱镜插值算法的这项研究对具有3D属性的数据字段的表达具有启示意义。此外,我们新颖的方法将有助于空间属性的预测和表示,并适用于所有3D地理信息;例如,在大气环流,海洋环流,水温,盐度和三维污染物扩散方面的研究。

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