Large Quantities of Acoustic Multibeam Bathymetric Point Clouds: Organizing Method for Efficient Storage and Retrieval
文献类型：期刊论文
| 作者 | Bu, Xianhai2,4; Dou, Shuaibing2; Zhang, Jianxing5; Yun, Tianyu2; Zhu, Yabing3; Huang, Yi1; Cui, Xiaodong2,4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2025-06-13 |
| 卷号 | 17期号:12页码:18 |
| 关键词 | multibeam sonar large quantities of point clouds oriented quadtree index files data retrieval |
| DOI | 10.3390/rs17122039 |
| 通讯作者 | Yun, Tianyu(cloucky@sdust.edu.cn) |
| 英文摘要 | To efficiently organize large quantities of acoustic multibeam bathymetric point clouds, this paper proposes an improved oriented quadtree-based method for establishing a data indexing structure stored on a hard disk. First, the spatial characteristics of the multibeam swath data are integrated into the traditional quadtree structure, resulting in an oriented quadtree for data organization. Then, the primary orientation of the root node's bounding box, which reflects the main orientation of the swath, is consistently applied to all child nodes, eliminating the need to calculate the orientation for each individual child node by the conventional oriented quadtree. Finally, index files containing the point cloud offset, oriented bounding box, and child node information for root, child, and leaf nodes are designed and stored in external storage. Experimental results indicate that, in terms of tree construction time, although the traditional quadtree reduces time consumption by approximately 50% compared to the improved oriented quadtree, the improved oriented quadtree still achieves a 70% reduction in time consumption compared to the conventional oriented quadtree. Regarding point cloud retrieval, within the same retrieval range, the improved oriented quadtree achieves similar average retrieval times as the conventional oriented quadtree but reduces the maximum time consumption by approximately 20.83% compared to the traditional quadtree. Furthermore, by storing the constructed index in binary format on external storage, the space occupancy was reduced by 50%. The approach effectively organizes acoustic multibeam bathymetric point clouds, providing valuable insights for enhancing point cloud retrieval efficiency and reducing data memory usage. |
| WOS关键词 | OCTREE ; CORE |
| 资助项目 | National Natural Science Foundation of China ; National Natural Science Foundation of Shandong Province[ZR2022QD008] ; Open Fund of the Key Laboratory of Ocean Geomatics of the Ministry of Natural Resources[2024B12] ; National Natural Science Foundation of Hainan Province[624QY578] ; Special Fund for Basic Scientific Research Business Expenses of Central Public Welfare Scientific Research Institutes[TKS20240303] ; [42204049] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001516074300001 |
| 出版者 | MDPI |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/201988]  |
| 专题 | 海洋研究所_海洋地质与环境重点实验室 |
| 通讯作者 | Yun, Tianyu |
| 作者单位 | 1.Unit 91001, Beijing 100143, Peoples R China 2.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China 3.Guangdong Prov Dept Land Resources Surveying & Map, Guangzhou 510700, Peoples R China 4.Minist Nat Resources, Key Lab Ocean Geomat, Qingdao 266590, Peoples R China 5.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bu, Xianhai,Dou, Shuaibing,Zhang, Jianxing,et al. Large Quantities of Acoustic Multibeam Bathymetric Point Clouds: Organizing Method for Efficient Storage and Retrieval[J]. REMOTE SENSING,2025,17(12):18. |
| APA | Bu, Xianhai.,Dou, Shuaibing.,Zhang, Jianxing.,Yun, Tianyu.,Zhu, Yabing.,...&Cui, Xiaodong.(2025).Large Quantities of Acoustic Multibeam Bathymetric Point Clouds: Organizing Method for Efficient Storage and Retrieval.REMOTE SENSING,17(12),18. |
| MLA | Bu, Xianhai,et al."Large Quantities of Acoustic Multibeam Bathymetric Point Clouds: Organizing Method for Efficient Storage and Retrieval".REMOTE SENSING 17.12(2025):18. |
入库方式： OAI收割
来源：海洋研究所
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