Comparison and analysis of ground seed detectors and interpolation methods in airborne LiDAR filtering
Ground seed detectors and interpolation methods are fundamental components of filtering algorithms. However, the performance of different detectors and interpolation methods typically varies, and few studies have been conducted on the adaptability of different detectors and interpolation methods to...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Egyptian Journal of Remote Sensing and Space Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110982323000868 |
| _version_ | 1797372031270912000 |
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| author | Chao Qi Xiankun Wang Dianpeng Su Yadong Guo Fanlin Yang |
| author_facet | Chao Qi Xiankun Wang Dianpeng Su Yadong Guo Fanlin Yang |
| author_sort | Chao Qi |
| collection | DOAJ |
| description | Ground seed detectors and interpolation methods are fundamental components of filtering algorithms. However, the performance of different detectors and interpolation methods typically varies, and few studies have been conducted on the adaptability of different detectors and interpolation methods to different terrains. Therefore, we compare three ground seed detectors (cylindrical neighborhood (CN), fixed grid (FG), and moving window (MW)) and three interpolation methods (triangulated irregular network (TIN), thin plate spline (TPS), and inverse distance weighting (IDW)). In addition, nine filters are constructed by combining the three ground seed detectors and the three interpolation methods to evaluate their comprehensive influences. To assess the performance of these detectors, interpolation methods, and filters, fifteen ISPRS-supplied light detection and ranging (LiDAR) benchmark datasets are utilized in the experiment. The findings indicate that the CN-TPS filter, which combines the CN detector and TPS method, achieves superior performance across mean Pg (99.16 % – correctly classified ground points divided by all extracted ground points), RMSE (0.44 m – root mean squared error), and total error (3.78 %). Moreover, the filtering methods are mainly affected by the performance of the ground seed detector and are less affected by the selected interpolation method. These results can be used to provide a valuable reference for designing an optimal LiDAR filtering algorithm for varied terrain types and applications. |
| first_indexed | 2024-03-08T18:30:34Z |
| format | Article |
| id | doaj.art-40a625b40be4477dbb7ccef969129b85 |
| institution | Directory Open Access Journal |
| issn | 1110-9823 |
| language | English |
| last_indexed | 2024-03-08T18:30:34Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Egyptian Journal of Remote Sensing and Space Sciences |
| spelling | doaj.art-40a625b40be4477dbb7ccef969129b852023-12-30T04:41:10ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232023-12-0126410091019Comparison and analysis of ground seed detectors and interpolation methods in airborne LiDAR filteringChao Qi0Xiankun Wang1Dianpeng Su2Yadong Guo3Fanlin Yang4College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China; Key Laboratory of Ocean Geomatics, Ministry of Natural Resources of China, Qingdao 266590, ChinaNorth China Sea Marine Engineering Survey and Research Academy, Ministry of Natural Resources of China, Qingdao 266061, China; Corresponding author at: No. 27 Yunling Road, Laoshan District, Qingdao 266061, China.College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China; Key Laboratory of Ocean Geomatics, Ministry of Natural Resources of China, Qingdao 266590, China; Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China; Key Laboratory of Ocean Geomatics, Ministry of Natural Resources of China, Qingdao 266590, ChinaGround seed detectors and interpolation methods are fundamental components of filtering algorithms. However, the performance of different detectors and interpolation methods typically varies, and few studies have been conducted on the adaptability of different detectors and interpolation methods to different terrains. Therefore, we compare three ground seed detectors (cylindrical neighborhood (CN), fixed grid (FG), and moving window (MW)) and three interpolation methods (triangulated irregular network (TIN), thin plate spline (TPS), and inverse distance weighting (IDW)). In addition, nine filters are constructed by combining the three ground seed detectors and the three interpolation methods to evaluate their comprehensive influences. To assess the performance of these detectors, interpolation methods, and filters, fifteen ISPRS-supplied light detection and ranging (LiDAR) benchmark datasets are utilized in the experiment. The findings indicate that the CN-TPS filter, which combines the CN detector and TPS method, achieves superior performance across mean Pg (99.16 % – correctly classified ground points divided by all extracted ground points), RMSE (0.44 m – root mean squared error), and total error (3.78 %). Moreover, the filtering methods are mainly affected by the performance of the ground seed detector and are less affected by the selected interpolation method. These results can be used to provide a valuable reference for designing an optimal LiDAR filtering algorithm for varied terrain types and applications.http://www.sciencedirect.com/science/article/pii/S1110982323000868Ground filteringAirborne LiDARGround seed detectorInterpolation |
| spellingShingle | Chao Qi Xiankun Wang Dianpeng Su Yadong Guo Fanlin Yang Comparison and analysis of ground seed detectors and interpolation methods in airborne LiDAR filtering Egyptian Journal of Remote Sensing and Space Sciences Ground filtering Airborne LiDAR Ground seed detector Interpolation |
| title | Comparison and analysis of ground seed detectors and interpolation methods in airborne LiDAR filtering |
| title_full | Comparison and analysis of ground seed detectors and interpolation methods in airborne LiDAR filtering |
| title_fullStr | Comparison and analysis of ground seed detectors and interpolation methods in airborne LiDAR filtering |
| title_full_unstemmed | Comparison and analysis of ground seed detectors and interpolation methods in airborne LiDAR filtering |
| title_short | Comparison and analysis of ground seed detectors and interpolation methods in airborne LiDAR filtering |
| title_sort | comparison and analysis of ground seed detectors and interpolation methods in airborne lidar filtering |
| topic | Ground filtering Airborne LiDAR Ground seed detector Interpolation |
| url | http://www.sciencedirect.com/science/article/pii/S1110982323000868 |
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