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Automated and digital geological surveying, mapping and analysis based on 3D photogrammetry

机译:基于3D摄影测量的自动化和数字地质测绘,映射和分析

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This paper briefly introduces a series of workflows for automated and digital geological surveying, mapping and analysis based on 3D photogrammetry. 3D photogrammetry technique can provide a lot of information data for reflecting a 3D, virtual, visual and digital engineering geological scene including point clouds data to characterize the geometric features of engineering geological scene and image data to characterize the visual features of engineering geological scene. A double-nested Mean-shift clustering and a region growing are carried out to extract discontinuities surfaces from point clouds. Discontinuities traces can be extracted from image data using a hybrid global and local threshold method and integrating a series of image-processing algorithms, and its corresponding coordinates are acquired by data matching links the pixel locations corresponding to the identified traces in an image to the 3D coordinates in the point cloud based on fusing point clouds data and image data. Finally, geological analysis is elaborately, accurately and non-contacted acquired by calculating the spatial geometry character of geological mapping.
机译:本文简要介绍了一系列的自动化和数字地质测量,绘图和分析的一系列工作流程。 3D摄影测量技术可以提供许多信息数据,用于反映3D,虚拟,视觉和数字工程地质场景,包括点云数据,以表征工程地质场景和图像数据的几何特征,以表征工程地质场景的视觉特征。进行双嵌套平均移位聚类和区域生长以从点云中提取不连续性表面。可以使用混合全局和本地阈值方法从图像数据中提取不连续性跟踪,并集成一系列图像处理算法,并且其对应的坐标通过数据匹配链接与图像中的图像中的识别的迹线相对应的像素位置链接基于融合点云数据和图像数据的点云中的坐标。最后,通过计算地质映射的空间几何特征来精确地,准确地和非接触地地质分析。

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