中国激光, 2020, 47 (5): 0510001, 网络出版: 2020-05-12
基于激光雷达的空间物体三维建模与体积计算 下载: 1957次
LiDAR-Based Three-Dimensional Modeling and Volume Calculation for Space Objects
遥感 激光雷达 三维点云 隐式曲面重建 mesh网格 体积计算 remote sensing LiDAR three-dimensional point cloud implicit surface reconstruction mesh grid volume calculation
摘要
求取体积参数是空间体对象形态分析的基本内容。采用激光雷达对空间物体进行扫描获得激光点云并求得其体积。首先使用三维激光雷达扫描物体获得原始点云;点云经过三维空间变换后,对点云进行缺失数据修补;再通过滤波和下采样处理进行点云去噪和点云数据的精简;最后采用一种隐式曲面重建算法构建三维点云的mesh网格模型,进而由网格模型求取体积。通过实验验证,使用激光雷达分别扫描了两个实验对象,将实验体积结果与实际的体积数据相比,误差分别仅为0.456%和0.394%,表明该体积计算方法有良好的曲面重建效果和体积计算精度。
Abstract
A basic content of the morphological analysis of space objects is obtaining the volume parameter. LiDAR can be effectively used to scan space objects to obtain the laser point cloud and calculate its volume. First, a three-dimensional (3-D) LiDAR was used to scan the object to obtain the original point cloud; then, after 3-D space transformation, the point cloud is repaired with missing data, and the filtering and down-sampling processes were conducted to denoise and reduce the point cloud data. Finally, an implicit surface reconstruction algorithm was used to build the mesh model of the 3-D point cloud, and the volume was obtained from the mesh model. Two experimental objects were scanned using the LiDAR for experimental verifications. Compared with the actual volumes, the errors of the two experimental volumes are only 0.456% and 0.394%, indicating that the proposed volume calculation method demonstrates good surface reconstruction effect and volume calculation accuracy.
胡燕威, 王建军, 范媛媛, 卢云鹏, 白崇岳, 张荠匀. 基于激光雷达的空间物体三维建模与体积计算[J]. 中国激光, 2020, 47(5): 0510001. Yanwei Hu, Jianjun Wang, Yuanyuan Fan, Yunpeng Lu, Chongyue Bai, Jiyun Zhang. LiDAR-Based Three-Dimensional Modeling and Volume Calculation for Space Objects[J]. Chinese Journal of Lasers, 2020, 47(5): 0510001.