Intricacies of Opening Geometry Detection in Terrestrial Laser Scanning: An Analysis Using Point Cloud Data from BLK360
This study investigates the use of terrestrial laser scanning (TLS) in urban excavation sites, focusing on enhancing ground deformation detection by precisely identifying opening geometries, such as gaps between pavement blocks. The accuracy of TLS data, affected by equipment specifications, environ...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/5/759 |
| _version_ | 1797263929454362624 |
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| author | Jinman Jung Taesik Kim Hong Min Seongmin Kim Young-Hoon Jung |
| author_facet | Jinman Jung Taesik Kim Hong Min Seongmin Kim Young-Hoon Jung |
| author_sort | Jinman Jung |
| collection | DOAJ |
| description | This study investigates the use of terrestrial laser scanning (TLS) in urban excavation sites, focusing on enhancing ground deformation detection by precisely identifying opening geometries, such as gaps between pavement blocks. The accuracy of TLS data, affected by equipment specifications, environmental conditions, and scanning geometry, is closely examined, especially with regard to the detection of openings between blocks. The experimental setup, employing the BLK360 scanner, aimed to mimic real-world paving situations with varied opening widths, allowing an in-depth analysis of how factors related to scan geometry, such as incidence angles and opening orientations, influence detection capabilities. Our examination of various factors and detection levels reveals the importance of the opening width and orientation in identifying block openings. We discovered the crucial role of the opening width, where larger openings facilitate detection in 2D cross-sections. The overall density of the point cloud was more significant than localized variations. Among geometric factors, the orientation of the local object geometry was more impactful than the incidence angle. Increasing the number of laser beam points within an opening did not necessarily improve detection, but beams crossing the secondary edge were vital. Our findings highlight that larger openings and greater overall point cloud densities markedly improve detection levels, whereas the orientation of local geometry is more critical than the incidence angle. The study also discusses the limitations of using a single BLK360 scanner and the subtle effects of scanning geometry on data accuracy, providing a thorough understanding of the factors that influence TLS data accuracy and reliability in monitoring urban excavations. |
| first_indexed | 2024-04-25T00:20:49Z |
| format | Article |
| id | doaj.art-25884dab00fb4f5aa5f4756bcbbcff5a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-25T00:20:49Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-25884dab00fb4f5aa5f4756bcbbcff5a2024-03-12T16:53:55ZengMDPI AGRemote Sensing2072-42922024-02-0116575910.3390/rs16050759Intricacies of Opening Geometry Detection in Terrestrial Laser Scanning: An Analysis Using Point Cloud Data from BLK360Jinman Jung0Taesik Kim1Hong Min2Seongmin Kim3Young-Hoon Jung4Department of Computer Engineering, Inha University, Incheon 22212, Republic of KoreaDepartment of Civil and Environmental Engineering, Hongik University, Seoul 04066, Republic of KoreaSchool of Computing, Gachon University, Seongnam 13120, Republic of KoreaDepartment of Civil Engineering, Kyung Hee University, Yongin-si 17104, Republic of KoreaDepartment of Civil Engineering, Kyung Hee University, Yongin-si 17104, Republic of KoreaThis study investigates the use of terrestrial laser scanning (TLS) in urban excavation sites, focusing on enhancing ground deformation detection by precisely identifying opening geometries, such as gaps between pavement blocks. The accuracy of TLS data, affected by equipment specifications, environmental conditions, and scanning geometry, is closely examined, especially with regard to the detection of openings between blocks. The experimental setup, employing the BLK360 scanner, aimed to mimic real-world paving situations with varied opening widths, allowing an in-depth analysis of how factors related to scan geometry, such as incidence angles and opening orientations, influence detection capabilities. Our examination of various factors and detection levels reveals the importance of the opening width and orientation in identifying block openings. We discovered the crucial role of the opening width, where larger openings facilitate detection in 2D cross-sections. The overall density of the point cloud was more significant than localized variations. Among geometric factors, the orientation of the local object geometry was more impactful than the incidence angle. Increasing the number of laser beam points within an opening did not necessarily improve detection, but beams crossing the secondary edge were vital. Our findings highlight that larger openings and greater overall point cloud densities markedly improve detection levels, whereas the orientation of local geometry is more critical than the incidence angle. The study also discusses the limitations of using a single BLK360 scanner and the subtle effects of scanning geometry on data accuracy, providing a thorough understanding of the factors that influence TLS data accuracy and reliability in monitoring urban excavations.https://www.mdpi.com/2072-4292/16/5/759terrestrial laser scanningopening geometrypoint cloud datalaser incidence anglescanning geometry |
| spellingShingle | Jinman Jung Taesik Kim Hong Min Seongmin Kim Young-Hoon Jung Intricacies of Opening Geometry Detection in Terrestrial Laser Scanning: An Analysis Using Point Cloud Data from BLK360 Remote Sensing terrestrial laser scanning opening geometry point cloud data laser incidence angle scanning geometry |
| title | Intricacies of Opening Geometry Detection in Terrestrial Laser Scanning: An Analysis Using Point Cloud Data from BLK360 |
| title_full | Intricacies of Opening Geometry Detection in Terrestrial Laser Scanning: An Analysis Using Point Cloud Data from BLK360 |
| title_fullStr | Intricacies of Opening Geometry Detection in Terrestrial Laser Scanning: An Analysis Using Point Cloud Data from BLK360 |
| title_full_unstemmed | Intricacies of Opening Geometry Detection in Terrestrial Laser Scanning: An Analysis Using Point Cloud Data from BLK360 |
| title_short | Intricacies of Opening Geometry Detection in Terrestrial Laser Scanning: An Analysis Using Point Cloud Data from BLK360 |
| title_sort | intricacies of opening geometry detection in terrestrial laser scanning an analysis using point cloud data from blk360 |
| topic | terrestrial laser scanning opening geometry point cloud data laser incidence angle scanning geometry |
| url | https://www.mdpi.com/2072-4292/16/5/759 |
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