A Morphological Analysis Method for Geological Bodies and Its Application on Three-dimensional Visualization Environment
Автор: Yanhong Zou, Xiancheng Mao, Wenfeng Xi
Журнал: International Journal of Engineering and Manufacturing(IJEM) @ijem
Статья в выпуске: 3 vol.2, 2012 года.
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Aiming at the spatial shape analysis of complex geological bodies in stereoscopic quantitative prediction of concealed ore bodies, a three-dimensional morphological analysis method for geological bodies based on 3-dimensional raster model under visualization environment was put forward by combining mathematical morphology with Euclidean distance transform theory. Firstly, the 3-dimensional visualization models for geological bodies were constructed on the basis of the 3-dimensional geological modeling (3DGM) technology; Secondly, the algorithm for extracting the surface shape trend of geological body with the 3-dimensional raster model was proposed by using mathematical morphology filtering. By the combination of morphological filtering, global set operation and three-dimensional Euclidean distance transform, the models for the quantitative analysis and extraction of the shape undulance were established. Lastly, as a case study, the three-dimensional morphological analysis method was applied in analyzing quantitatively the Xinwuli magmatic body in Fenghuangshan ore field in Tongling, Anhui Province. By means of the calculation model of Euclidean distance field, the quantitative extraction of the shape trend and shape undulance as the quantitative indexes of geological ore-controlling factors were achieved after building the 3D raster models of the magmatic body. The results show that the morphological analysis method is feasible to calculate various morphological parameters of complex geological bodies and extract quantitative indexes of geological ore-controlling factors successfully for stereoscopic quantitative predication of concealed ore bodies.
Geological body, 3-dimensional visualization, morphological analysis, mathematical morphology, Euclidean distance transform
Короткий адрес: https://sciup.org/15014313
IDR: 15014313
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