Extraction of discontinuity orientations in point clouds

Andreas Anjan Buyer, Wulf Schubert

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Abstract

Discontinuities dominantly influence the mechanical behavior of rock masses. Thus, it is of crucial importance in rock engineering to have a profound knowledge about the discontinuity network. Traditional measuring techniques provide only a rough knowledge about a discontinuity network and are prone to human bias. To increase the reliability of discontinuity models, digital mapping techniques using data from remote sensing, like Close-Range Terrestrial Digital Photogrammetry, were developed. This paper focuses on the plane identification within 3-D point clouds using MATLAB® (The Mathworks Inc.) and DIPS® (Rocscience Inc.). The 3-D point cloud is generated with the program ShapeMetriX3D (3GSM GmbH). To verify the plane identification with MATLAB® the results are compared with mapping results from ShapeMetriX3D. This research is part of an approach to automate the rock mass characterization by combining information attained by digital image processing and the analysis of the digital surface model.
Originalspracheenglisch
Titel2016 ISRM INTERNATIONAL SYMPOSIUM
UntertitelRock Mechanics & Rock Engineering: From the Past to the Future
PublikationsstatusVeröffentlicht - 2016

Schlagwörter

  • Automation
  • digital image processing
  • discontinuities
  • digital mapping
  • rock mass characterization

Dieses zitieren

Buyer, A. A., & Schubert, W. (2016). Extraction of discontinuity orientations in point clouds. in 2016 ISRM INTERNATIONAL SYMPOSIUM: Rock Mechanics & Rock Engineering: From the Past to the Future