期刊文献+

三维激光扫描系统在岩体结构面识别中的应用 被引量:46

The application of 3-D laser scanning technology in rock joint sets identification
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摘要 现阶段岩石工程仍主要通过罗盘进行裂隙结构面的工程勘察,而三维激光扫描技术可替代这一传统地质勘察手段。本文给出了该技术半自动和全自动化的两种岩石结构面识别的方法和步骤。半自动结构面识别方法首先进行坐标变换,根据扫描坐标点云数据拟合平面,求解岩石产状。全自动结构面识别方法则要根据扫描数据进行表面重建,应用模糊聚类方法对结构面进行分组,以Fisher分布的K值作为判断聚类效果的指标,通过去除边界点,逐步迭代获得出露岩体结构面组的优势方位。最后采用全自动结构面识别方法进行实例分析。研究表明,采用该技术可方便得到岩石体的优势产状,扩展了岩石勘察的范围。 The joint sets of rock mass are commonly identified by means of compass today. There are lots of shortcomings with this traditional method. The long distance high resolution 3-D laser scanning technology (LIDAR) provides new methods that may replace the traditional one. The procedures of semiautomatic and automatic methods with their engineering application to rock face identification have been introduced in this paper. The semiautomatic method will transform the coordinate system and get the stratum-dip direction and stratum-dip angle by fitting the plane from the scanning points. The automatic method will reconstruct the surface and utilize the fuzzy K mean clustering method to cluster the facets. The K value of the fisher distribution is the key index to justify the clustering method and to filter non-key points off. Finally the dominant joint sets and their direction of the outcrop will be obtained when the K value is big enough. A ease study of application of the automatic method is presented. The result reveals that LIDAR is applicable to exploitation of rock mass.
出处 《中国水利水电科学研究院学报》 2007年第1期43-48,共6页 Journal of China Institute of Water Resources and Hydropower Research
基金 水利部"948"项目(200518)
关键词 岩体 结构面 三维激光扫描技术 模糊尺均值聚类 Fisher分布 rock mass joint sets LIDAR fuzzy K-means cluster algorithm fisher distribution
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参考文献5

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