A New Method of Ski Tracks Extraction Based on Laser Intensity Information
At present, the mainstream laser point cloud classification algorithms are mainly based on the geometric information of the target. Nevertheless, if there is occlusion between the targets, the classification effect will be negatively affected. Compared with the above methods, a new method of ski tra...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/11/5678 |
| _version_ | 1797494041208684544 |
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| author | Wenxin Wang Changming Zhao Haiyang Zhang |
| author_facet | Wenxin Wang Changming Zhao Haiyang Zhang |
| author_sort | Wenxin Wang |
| collection | DOAJ |
| description | At present, the mainstream laser point cloud classification algorithms are mainly based on the geometric information of the target. Nevertheless, if there is occlusion between the targets, the classification effect will be negatively affected. Compared with the above methods, a new method of ski tracks extraction using laser intensity information based on target reflection is presented in this paper. The method can complete the downsampling of the point cloud datasets of ski tracks under the condition that the information of the target edge is complete. Then, the clustering and extraction of ski tracks are effectively accomplished based on the smoothing threshold and curvature between adjacent point clouds. The experimental results show that, different from the traditional methods, the composite classification method based on the intensity information proposed in this paper can effectively extract ski tracks from the complex background. By comparing the proposed method to the Euclidean distance method, the clustering segmentation method, and the RANSAC method, the average extraction accuracy is increased by 16.9%, while the over extraction rate is reduced by 8.4% and the under extraction rate is reduced by 8.6%, allowing us to accurately extract the ski track point cloud of a ski resort. |
| first_indexed | 2024-03-10T01:28:37Z |
| format | Article |
| id | doaj.art-4aae56b9730e488c868b17d47ee53ad4 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T01:28:37Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4aae56b9730e488c868b17d47ee53ad42023-11-23T13:46:00ZengMDPI AGApplied Sciences2076-34172022-06-011211567810.3390/app12115678A New Method of Ski Tracks Extraction Based on Laser Intensity InformationWenxin Wang0Changming Zhao1Haiyang Zhang2School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaAt present, the mainstream laser point cloud classification algorithms are mainly based on the geometric information of the target. Nevertheless, if there is occlusion between the targets, the classification effect will be negatively affected. Compared with the above methods, a new method of ski tracks extraction using laser intensity information based on target reflection is presented in this paper. The method can complete the downsampling of the point cloud datasets of ski tracks under the condition that the information of the target edge is complete. Then, the clustering and extraction of ski tracks are effectively accomplished based on the smoothing threshold and curvature between adjacent point clouds. The experimental results show that, different from the traditional methods, the composite classification method based on the intensity information proposed in this paper can effectively extract ski tracks from the complex background. By comparing the proposed method to the Euclidean distance method, the clustering segmentation method, and the RANSAC method, the average extraction accuracy is increased by 16.9%, while the over extraction rate is reduced by 8.4% and the under extraction rate is reduced by 8.6%, allowing us to accurately extract the ski track point cloud of a ski resort.https://www.mdpi.com/2076-3417/12/11/5678classification algorithmssmoothing threshold and curvaturelaser intensity informationski tracks |
| spellingShingle | Wenxin Wang Changming Zhao Haiyang Zhang A New Method of Ski Tracks Extraction Based on Laser Intensity Information Applied Sciences classification algorithms smoothing threshold and curvature laser intensity information ski tracks |
| title | A New Method of Ski Tracks Extraction Based on Laser Intensity Information |
| title_full | A New Method of Ski Tracks Extraction Based on Laser Intensity Information |
| title_fullStr | A New Method of Ski Tracks Extraction Based on Laser Intensity Information |
| title_full_unstemmed | A New Method of Ski Tracks Extraction Based on Laser Intensity Information |
| title_short | A New Method of Ski Tracks Extraction Based on Laser Intensity Information |
| title_sort | new method of ski tracks extraction based on laser intensity information |
| topic | classification algorithms smoothing threshold and curvature laser intensity information ski tracks |
| url | https://www.mdpi.com/2076-3417/12/11/5678 |
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