Hierarchical MPS-Based Three-Dimensional Geological Structure Reconstruction with Two-Dimensional Image(s)

Hierarchical MPS-Based Three-Dimensional Geological Structure Reconstruction with Two-Dimensional Image(s)
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基于分层 MPS 的二维图像三维地质结构重建

DOI:
10.1007/s12583-021-1443-x
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发表时间:
2021-04
影响因子:
3.3
通讯作者:
Fan Xiao
Fan Xiao
中科院分区:
地球科学3区
文献类型:
--
作者:
Weishen Hou;Hengguang Liu;Tiancheng Zheng;Wenjie Shen;Fan Xiao

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多点统计(MPS)是在宏观或微观领域重建三维模型的一种有用方法。从二维训练图像(TIs)中提取用于三维重建的空间特征,并……(原句最后单词“characte”不完整)
Multiple-point statistics (MPS) is a useful approach to reconstruct three-dimensional models in the macroscopic or microscopic field. Extracting spatial features for three-dimensional reconstruction from two-dimensional training images (TIs), and characterizing non-stationary features with directional ductility are two key issues in MPS simulation. This study presents a step-wise MPS-based three-dimensional structures reconstruction algorithm with the sequential process and hierarchical strategy based on two-dimensional images. An extension method is proposed to construct three-dimensional TIs. With a sequential simulation process, an initial guess at the coarsest scale is simulated, in which hierarchical strategy is used according to the characteristics of TIs. To obtain a more refined realization, an expectation-maximization like iterative process with global optimization is implemented. A concrete example of chondrite micro-structure simulation, in which one scanning electron microscopy (SEM) image of the Heyetang meteorite is used as TI, shows that the presented algorithm can simulate complex non-stationary structures.
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