SEMI-AUTOMATIC ROCK MASS GEOMETRY ANALYSIS FROM A DENSE 3D POINT CLOUD WITH DISCONTINUITYLAB
2D and 3D imageries can allow the optimization of rock mass exploitation (quarries, roads, rail networks, open pit, potentially tunnels and underground mines networks). The increasingly common use of photogrammetry makes it possible to obtain georeferenced 3D point clouds that are useful for underst...
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Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-402c78a5bfd944f8a41e5f2be26dc6892020-11-25T01:23:19ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502020-08-01V-2-202067968610.5194/isprs-annals-V-2-2020-679-2020SEMI-AUTOMATIC ROCK MASS GEOMETRY ANALYSIS FROM A DENSE 3D POINT CLOUD WITH DISCONTINUITYLABP. Caudal0E. Simonetto1V. Merrien-Soukatchoff2T. J. B. Dewez3BRGM, DRP/RIG, 3 Avenue Claude Guillemin, 45100 Orléans, FranceCnam Laboratoire GεF, 1 Boulevard Pythagore, 72000 Le Mans, FranceCnam Laboratoire GεF, 1 Boulevard Pythagore, 72000 Le Mans, FranceBRGM, DRP/RIG, 3 Avenue Claude Guillemin, 45100 Orléans, France2D and 3D imageries can allow the optimization of rock mass exploitation (quarries, roads, rail networks, open pit, potentially tunnels and underground mines networks). The increasingly common use of photogrammetry makes it possible to obtain georeferenced 3D point clouds that are useful for understanding the rock mass. Indeed, new structural analysis solutions have been proposed since the advent of the 3D technologies. These methods are essentially focused on the production of digital stereonet. Production of additional information from 3D point clouds are possible to better define the structure of the rock mass, in particular the quantification of the discontinuities density. The aim of this paper is to test and validate a new method that provides statistics on the distances between the discontinuity planes. This solution is based on exploiting the information previously extracted from the segmentation of the discontinuity planes of a point cloud and their classification in family. In this article, the proposed solution is applied on two multiscale examples, firstly to validate it with a virtual synthetic outcrop and secondly to test it on a real outcrop. To facilitate these analyses, a software called DiscontinuityLab has been developed and used for the treatments.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/679/2020/isprs-annals-V-2-2020-679-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
P. Caudal E. Simonetto V. Merrien-Soukatchoff T. J. B. Dewez |
spellingShingle |
P. Caudal E. Simonetto V. Merrien-Soukatchoff T. J. B. Dewez SEMI-AUTOMATIC ROCK MASS GEOMETRY ANALYSIS FROM A DENSE 3D POINT CLOUD WITH DISCONTINUITYLAB ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
P. Caudal E. Simonetto V. Merrien-Soukatchoff T. J. B. Dewez |
author_sort |
P. Caudal |
title |
SEMI-AUTOMATIC ROCK MASS GEOMETRY ANALYSIS FROM A DENSE 3D POINT CLOUD WITH DISCONTINUITYLAB |
title_short |
SEMI-AUTOMATIC ROCK MASS GEOMETRY ANALYSIS FROM A DENSE 3D POINT CLOUD WITH DISCONTINUITYLAB |
title_full |
SEMI-AUTOMATIC ROCK MASS GEOMETRY ANALYSIS FROM A DENSE 3D POINT CLOUD WITH DISCONTINUITYLAB |
title_fullStr |
SEMI-AUTOMATIC ROCK MASS GEOMETRY ANALYSIS FROM A DENSE 3D POINT CLOUD WITH DISCONTINUITYLAB |
title_full_unstemmed |
SEMI-AUTOMATIC ROCK MASS GEOMETRY ANALYSIS FROM A DENSE 3D POINT CLOUD WITH DISCONTINUITYLAB |
title_sort |
semi-automatic rock mass geometry analysis from a dense 3d point cloud with discontinuitylab |
publisher |
Copernicus Publications |
series |
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
2194-9042 2194-9050 |
publishDate |
2020-08-01 |
description |
2D and 3D imageries can allow the optimization of rock mass exploitation (quarries, roads, rail networks, open pit, potentially tunnels and underground mines networks). The increasingly common use of photogrammetry makes it possible to obtain georeferenced 3D point clouds that are useful for understanding the rock mass. Indeed, new structural analysis solutions have been proposed since the advent of the 3D technologies. These methods are essentially focused on the production of digital stereonet. Production of additional information from 3D point clouds are possible to better define the structure of the rock mass, in particular the quantification of the discontinuities density. The aim of this paper is to test and validate a new method that provides statistics on the distances between the discontinuity planes. This solution is based on exploiting the information previously extracted from the segmentation of the discontinuity planes of a point cloud and their classification in family. In this article, the proposed solution is applied on two multiscale examples, firstly to validate it with a virtual synthetic outcrop and secondly to test it on a real outcrop. To facilitate these analyses, a software called DiscontinuityLab has been developed and used for the treatments. |
url |
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/679/2020/isprs-annals-V-2-2020-679-2020.pdf |
work_keys_str_mv |
AT pcaudal semiautomaticrockmassgeometryanalysisfromadense3dpointcloudwithdiscontinuitylab AT esimonetto semiautomaticrockmassgeometryanalysisfromadense3dpointcloudwithdiscontinuitylab AT vmerriensoukatchoff semiautomaticrockmassgeometryanalysisfromadense3dpointcloudwithdiscontinuitylab AT tjbdewez semiautomaticrockmassgeometryanalysisfromadense3dpointcloudwithdiscontinuitylab |
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1725122960993288192 |