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.
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52nd U.S. Rock Mechanics/Geomechanics Symposium
June 17–20, 2018
Seattle, Washington
Automated and Digital Geological Surveying, Mapping and Analysis Based on 3D Photogrammetry
Dwayne D. Tannant;
Dwayne D. Tannant
University of British Columbia
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Paper presented at the 52nd U.S. Rock Mechanics/Geomechanics Symposium, Seattle, Washington, June 2018.
Paper Number:
ARMA-2018-284
Published:
June 17 2018
Citation
Zhang, Peng, Tannant, Dwayne D., and Hehua Zhu. "Automated and Digital Geological Surveying, Mapping and Analysis Based on 3D Photogrammetry." Paper presented at the 52nd U.S. Rock Mechanics/Geomechanics Symposium, Seattle, Washington, June 2018.
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