Automatic Extraction of Discontinuity Traces from 3D Rock Mass Point Clouds Considering the Influence of Light Shadows and Color Change
The spatial characteristics of discontinuity traces play an important role in evaluations of the quality of rock masses. Most researchers have extracted discontinuity traces through the gray attributes of two-dimensional (2D) photo images or the geometric attributes of three-dimensional (3D) point c...
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MDPI AG
2022-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/21/5314 |
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| author | Jiateng Guo Zirui Zhang Yachun Mao Shanjun Liu Wancheng Zhu Tianhong Yang |
| author_facet | Jiateng Guo Zirui Zhang Yachun Mao Shanjun Liu Wancheng Zhu Tianhong Yang |
| author_sort | Jiateng Guo |
| collection | DOAJ |
| description | The spatial characteristics of discontinuity traces play an important role in evaluations of the quality of rock masses. Most researchers have extracted discontinuity traces through the gray attributes of two-dimensional (2D) photo images or the geometric attributes of three-dimensional (3D) point clouds, while few researchers have paid attention to other important attributes of the original 3D point clouds, that is, the color attributes. By analyzing the color changes in a 3D point cloud, discontinuity traces in the smooth areas of a rock surface can be extracted, which cannot be obtained from the geometric attributes of the 3D point cloud. At the same time, a necessary filtering step has been designed to identify redundant shadow traces caused by sunlight on the rocks’ surface, and a multiscale spatial local binary pattern (MS-LBP) algorithm was proposed to eliminate the influence of shadows. Next, the geometric attributes of the 3D point cloud were fused to extract the potential discontinuity trace points on the rocks’ surface. For cases in which the potential discontinuity trace points are too scattered, a local line normalization thinning algorithm was proposed to refine the potential discontinuity trace points. Finally, an algorithm for establishing a two-way connection between a local vector buffer algorithm and a connectivity judgment algorithm was used to connect the discontinuity trace points to obtain the discontinuity traces of the rock mass’s surface. In addition, three datasets were used to compare the results extracted by existing methods. The results showed that the proposed method can extract the discontinuity traces of rock masses with higher accuracy, thereby providing data support for evaluations of the quality of rock masses and stability analyses. |
| first_indexed | 2024-03-09T18:42:21Z |
| format | Article |
| id | doaj.art-bcdbafcbe2a647abbe3ade1bf887eb2b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T18:42:21Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-bcdbafcbe2a647abbe3ade1bf887eb2b2023-11-24T06:37:02ZengMDPI AGRemote Sensing2072-42922022-10-011421531410.3390/rs14215314Automatic Extraction of Discontinuity Traces from 3D Rock Mass Point Clouds Considering the Influence of Light Shadows and Color ChangeJiateng Guo0Zirui Zhang1Yachun Mao2Shanjun Liu3Wancheng Zhu4Tianhong Yang5College of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaThe spatial characteristics of discontinuity traces play an important role in evaluations of the quality of rock masses. Most researchers have extracted discontinuity traces through the gray attributes of two-dimensional (2D) photo images or the geometric attributes of three-dimensional (3D) point clouds, while few researchers have paid attention to other important attributes of the original 3D point clouds, that is, the color attributes. By analyzing the color changes in a 3D point cloud, discontinuity traces in the smooth areas of a rock surface can be extracted, which cannot be obtained from the geometric attributes of the 3D point cloud. At the same time, a necessary filtering step has been designed to identify redundant shadow traces caused by sunlight on the rocks’ surface, and a multiscale spatial local binary pattern (MS-LBP) algorithm was proposed to eliminate the influence of shadows. Next, the geometric attributes of the 3D point cloud were fused to extract the potential discontinuity trace points on the rocks’ surface. For cases in which the potential discontinuity trace points are too scattered, a local line normalization thinning algorithm was proposed to refine the potential discontinuity trace points. Finally, an algorithm for establishing a two-way connection between a local vector buffer algorithm and a connectivity judgment algorithm was used to connect the discontinuity trace points to obtain the discontinuity traces of the rock mass’s surface. In addition, three datasets were used to compare the results extracted by existing methods. The results showed that the proposed method can extract the discontinuity traces of rock masses with higher accuracy, thereby providing data support for evaluations of the quality of rock masses and stability analyses.https://www.mdpi.com/2072-4292/14/21/5314rock mass3D point cloudsautomatic extractiondiscontinuity traceslight shadowcolor change |
| spellingShingle | Jiateng Guo Zirui Zhang Yachun Mao Shanjun Liu Wancheng Zhu Tianhong Yang Automatic Extraction of Discontinuity Traces from 3D Rock Mass Point Clouds Considering the Influence of Light Shadows and Color Change Remote Sensing rock mass 3D point clouds automatic extraction discontinuity traces light shadow color change |
| title | Automatic Extraction of Discontinuity Traces from 3D Rock Mass Point Clouds Considering the Influence of Light Shadows and Color Change |
| title_full | Automatic Extraction of Discontinuity Traces from 3D Rock Mass Point Clouds Considering the Influence of Light Shadows and Color Change |
| title_fullStr | Automatic Extraction of Discontinuity Traces from 3D Rock Mass Point Clouds Considering the Influence of Light Shadows and Color Change |
| title_full_unstemmed | Automatic Extraction of Discontinuity Traces from 3D Rock Mass Point Clouds Considering the Influence of Light Shadows and Color Change |
| title_short | Automatic Extraction of Discontinuity Traces from 3D Rock Mass Point Clouds Considering the Influence of Light Shadows and Color Change |
| title_sort | automatic extraction of discontinuity traces from 3d rock mass point clouds considering the influence of light shadows and color change |
| topic | rock mass 3D point clouds automatic extraction discontinuity traces light shadow color change |
| url | https://www.mdpi.com/2072-4292/14/21/5314 |
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