An algorithm for automatic detection and orientation estimation of planar structures in LiDAR-scanned outcrops
The spatial orientation of linear and planar structures in geological fieldwork is still obtained using simple hand-held instruments such as a compass and clinometer. Despite their ease of use, the amount of data obtained in this way is normally smaller than would be considered as representative of...
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| Published in: | Computers & geosciences Vol. 90; pp. 170 - 178 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01-05-2016
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| Abstract | The spatial orientation of linear and planar structures in geological fieldwork is still obtained using simple hand-held instruments such as a compass and clinometer. Despite their ease of use, the amount of data obtained in this way is normally smaller than would be considered as representative of the area available for sampling. LiDAR-based remote sensors are capable of sampling large areas and providing huge sets of digitized spatial points. However, the visual identification of planes in sets of points on geological outcrops is a difficult and time-consuming task. An automatic method for detecting and estimating the orientation of planar structures has been developed to reduce analysis and processing times, and to fit the best plane for each surface represented by a set of points and thus to increase the sampled area. The algorithm detects clusters of points that are part of the same plane based on the principal component analysis (PCA) technique. When applied to real cases, it has shown high precision in both the detection and orientation of fractures planes.
•We propose a method for plane detection and orientation in LiDAR point clouds.•The method, simple and automatic, is statistical in its essence, using PCA.•The whole point cloud is sequentially sub-divided until planar patches are found.•It opposes other methods that search for small planer patches and expand it outwards. |
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| AbstractList | The spatial orientation of linear and planar structures in geological fieldwork is still obtained using simple hand-held instruments such as a compass and clinometer. Despite their ease of use, the amount of data obtained in this way is normally smaller than would be considered as representative of the area available for sampling. LiDAR-based remote sensors are capable of sampling large areas and providing huge sets of digitized spatial points. However, the visual identification of planes in sets of points on geological outcrops is a difficult and time-consuming task. An automatic method for detecting and estimating the orientation of planar structures has been developed to reduce analysis and processing times, and to fit the best plane for each surface represented by a set of points and thus to increase the sampled area. The algorithm detects clusters of points that are part of the same plane based on the principal component analysis (PCA) technique. When applied to real cases, it has shown high precision in both the detection and orientation of fractures planes.
•We propose a method for plane detection and orientation in LiDAR point clouds.•The method, simple and automatic, is statistical in its essence, using PCA.•The whole point cloud is sequentially sub-divided until planar patches are found.•It opposes other methods that search for small planer patches and expand it outwards. |
| Author | de Oliveira, Luiz P.L. Gomes, Robson K. Veronez, Mauricio R. de Souza, Marcelo K. Gonzaga, Luiz Tognoli, Francisco M.W. |
| Author_xml | – sequence: 1 givenname: Robson K. surname: Gomes fullname: Gomes, Robson K. email: robson.kg@gmail.com organization: Programa Interdisciplinar de Pós-Graduação em Computação Aplicada, Brazil – sequence: 2 givenname: Luiz P.L. surname: de Oliveira fullname: de Oliveira, Luiz P.L. email: lpluna@unisinos.br organization: Programa Interdisciplinar de Pós-Graduação em Computação Aplicada, Brazil – sequence: 3 givenname: Luiz surname: Gonzaga fullname: Gonzaga, Luiz email: lgonzagajr@gmail.com organization: Programa Interdisciplinar de Pós-Graduação em Computação Aplicada, Brazil – sequence: 4 givenname: Francisco M.W. surname: Tognoli fullname: Tognoli, Francisco M.W. email: FTOGNOLI@unisinos.br organization: Programa de Pós-Graduação em Geologia, Brazil – sequence: 5 givenname: Mauricio R. surname: Veronez fullname: Veronez, Mauricio R. email: VERONEZ@unisinos.br organization: Programa de Pós-Graduação em Geologia, Brazil – sequence: 6 givenname: Marcelo K. surname: de Souza fullname: de Souza, Marcelo K. email: marcelo.k.souza@gmail.com organization: Programa de Pós-Graduação em Geologia, Brazil |
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| SubjectTerms | Geology LiDAR Mid-infrared Planar structure Principal component analysis Remote sensing |
| Title | An algorithm for automatic detection and orientation estimation of planar structures in LiDAR-scanned outcrops |
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