Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment
To meet the demand for intelligent measurements of canopy morphological parameters, a mobile LiDAR scanning system with LiDAR and IMU as the main sensors was constructed. The system uses a LiDAR-IMU tight coupling odometry method to reconstruct a point cloud map of the area surveyed. After using the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2021
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| Online Access: | http://journalarticle.ukm.my/18292/ http://journalarticle.ukm.my/18292/1/4.pdf |
| _version_ | 1848814533462720512 |
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| author | Wang, Kai Zhou, Jun Zhang, Wenhai Zhang, Baohua |
| author_facet | Wang, Kai Zhou, Jun Zhang, Wenhai Zhang, Baohua |
| author_sort | Wang, Kai |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | To meet the demand for intelligent measurements of canopy morphological parameters, a mobile LiDAR scanning system with LiDAR and IMU as the main sensors was constructed. The system uses a LiDAR-IMU tight coupling odometry method to reconstruct a point cloud map of the area surveyed. After using the RANSAC algorithm to remove the map ground, the European clustering algorithm is used for point cloud segmentation. Finally, morphological parameters of the canopy, such as crown height, crown diameter, and crown volume, are extracted using statistical and voxel methods. To verify the algorithm, a total of 43 trees in multiple plots of the campus were tested and compared. The algorithm defined in this study was evaluated with manual measurements as reference, and the morphological parameters of the canopy obtained using the LOAM and LeGO-LOAM algorithms as the basic framework were compared. Experiments show that this method can be used to easily obtain the crown height, crown diameter, and crown volume of the area; the correlation coefficients of these parameters were 0.91, 0.87, and 0.83, respectively. Compared with the LOAM and LeGO-LOAM methods, they were increased by 0.004, 0.12, and 0.13 and 0.07, 0.15, and 0.04, respectively. The test results for this new system are positive and meet the requirements of horticulture and orchard measurements, indicating that it will have significant value as an application. |
| first_indexed | 2025-11-15T00:35:36Z |
| format | Article |
| id | oai:generic.eprints.org:18292 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:35:36Z |
| publishDate | 2021 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:182922022-04-06T06:17:18Z http://journalarticle.ukm.my/18292/ Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment Wang, Kai Zhou, Jun Zhang, Wenhai Zhang, Baohua To meet the demand for intelligent measurements of canopy morphological parameters, a mobile LiDAR scanning system with LiDAR and IMU as the main sensors was constructed. The system uses a LiDAR-IMU tight coupling odometry method to reconstruct a point cloud map of the area surveyed. After using the RANSAC algorithm to remove the map ground, the European clustering algorithm is used for point cloud segmentation. Finally, morphological parameters of the canopy, such as crown height, crown diameter, and crown volume, are extracted using statistical and voxel methods. To verify the algorithm, a total of 43 trees in multiple plots of the campus were tested and compared. The algorithm defined in this study was evaluated with manual measurements as reference, and the morphological parameters of the canopy obtained using the LOAM and LeGO-LOAM algorithms as the basic framework were compared. Experiments show that this method can be used to easily obtain the crown height, crown diameter, and crown volume of the area; the correlation coefficients of these parameters were 0.91, 0.87, and 0.83, respectively. Compared with the LOAM and LeGO-LOAM methods, they were increased by 0.004, 0.12, and 0.13 and 0.07, 0.15, and 0.04, respectively. The test results for this new system are positive and meet the requirements of horticulture and orchard measurements, indicating that it will have significant value as an application. Penerbit Universiti Kebangsaan Malaysia 2021-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18292/1/4.pdf Wang, Kai and Zhou, Jun and Zhang, Wenhai and Zhang, Baohua (2021) Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment. Sains Malaysiana, 50 (11). pp. 3193-3204. ISSN 0126-6039 https://www.ukm.my/jsm/malay_journals/jilid50bil11_2021/KandunganJilid50Bil11_2021.html |
| spellingShingle | Wang, Kai Zhou, Jun Zhang, Wenhai Zhang, Baohua Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment |
| title | Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment |
| title_full | Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment |
| title_fullStr | Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment |
| title_full_unstemmed | Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment |
| title_short | Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment |
| title_sort | extracting crown morphology with a low-cost mobile lidar scanning system in the natural environment |
| url | http://journalarticle.ukm.my/18292/ http://journalarticle.ukm.my/18292/ http://journalarticle.ukm.my/18292/1/4.pdf |