Using Geometric Computation for Characterizing and Visualizing Geological Structures
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We present several image processing methods which extract additional geological information from 3 dimensional (3D) laser images of rock faces at the outcrop scale. The geological information we are interested in extracting is fracture orientation, surface roughness and specific rock feature detection. Fracture orientation is important in determining the strength of intact rock masses as well as the stresses it has received. The surface roughness is also important in determining the strength and stability of rock masses. The strength and stability of rock masses is especially important forsafe mining environments. The specific rock feature we aim to detect is known as the shatter cone. Detecting shatter cones was explored to determine if 3D images could be used to extract a specific rock type. Two different methods for fracture orientation mapping is presented. Three different roughness measures are proposed. One method for specific rock detection is explored.
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Copyright © 2013 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2013
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