Structural analysis of clastic dikes based on Structure from Motion/Multi-View Stereo
- Published
- Accepted
- Subject Areas
- Computational Science, Spatial and Geographic Information Science
- Keywords
- Structure from Motion, Structural Geology, Corumbatai Formation, Parana Basin, Photogrammetry
- Copyright
- © 2018 Grohmann et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. Structural analysis of clastic dikes based on Structure from Motion/Multi-View Stereo. PeerJ Preprints 6:e27060v1 https://doi.org/10.7287/peerj.preprints.27060v1
Abstract
This work presents the development of a three-dimensional model of an outcrop of the Corumbataí Formation using Structure from Motion and Multi-View Stereo (SfM-MVS) techniques in order to provide a structural analysis of clastic dikes cutting through siltstone layers. Composed mainly of fine sand and silt, these dikes are formed by sand intrusions when a wet sandy layer is affected by earthquakes of at least 6.5 magnitude, being used as a record of such events.While traditional photogrammetry requires the user to input a series of parameters related to the camera orientation and its characteristics (such as focal distance), in SfM-MVS the scene geometry, camera position and orientations are automatically determined by a bundle adjustment, an iterative procedure based on a set of overlapping images. It is considered a low-cost technique in both hardware and software, also being able to provide point density and accuracy on par to the ones obtained with terrestrial laser scanner.The results acquired on this research have a good agreement with previous works, yielding a NNW main orientation for the dikes measured in the field and on the 3D model. The development of this work showed that SfM-MVS use and practice on geosciences still needs more studies on the optimization of the involved parameters (such as camera orientation, image overlap and angle of illumination), which, when accomplished, will result in less processing time and more accurate models.
Author Comment
This paper was presented at the Geomorphometry 2018 conference in Boulder, CO, in August 2018.