光学精密工程2025，Vol.33Issue(11)：1782-1792,11.DOI:10.37188/OPE.20253311.1782
月球熔岩管点云的曲率优化表面重建
Curvature-optimized surface reconstruction of lunar lava tube point cloud
摘要
Abstract
Point cloud surface reconstruction is a critical technology in lunar exploration,the quality of sur-face reconstruction is directly dependent on point cloud accuracy.To enhance point cloud precision,pre-serve surface details,and prevent over-smoothing,a surface reconstruction method based on the Euclidean distance of point cloud normal vectors and surface projection is proposed.This neighborhood-based ap-proach employs an anisotropic projection process to closely approximate the true surface positions of ob-jects,effectively maintaining the geometric integrity of the real object and improving the quality and reli-ability of the 3D model.Initially,principal component analysis(PCA)is utilized to estimate and normalize normal vectors on unstructured point clouds.Subsequently,voxel filtering is applied for preprocessing to eliminate outliers.Following this,a moving least squares(MLS)method employing anisotropic weight functions is used for point cloud projection,yielding smooth point cloud data while preserving local geo-metric features.Finally,the Poisson algorithm is implemented for implicit surface reconstruction and trian-gular mesh generation.The morphological parameters of the Indian Lava Tube are analyzed to assess the influence of algorithmic parameters on resampling and surface reconstruction.Results indicate that a pro-jection radius of 30 mm and a normal vector difference threshold of 5° yield the highest resampling accura-cy,with a point cloud root mean square error(RMSE)below 13.9 mm.Optimal surface reconstruction is achieved with a 40 mm projection radius and the same threshold,resulting in a reconstructed surface RMSE under 67.6 mm.Compared to farthest point sampling,normal space sampling,uniform sampling,and voxel sampling methods,the proposed approach attains superior surface reconstruction precision.This algorithm substantially enhances surface accuracy and is well-suited for reconstructing lava tube point clouds in natural environments.It offers a robust solution for high-precision three-dimensional modeling of lunar lava tubes.关键词
激光雷达/点云表面重建/月球探测/熔岩管/重采样Key words
LiDAR/point cloud surface reconstruction/lunar exploration/lava tube/resampling分类
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姚家琦,李有治,韩圆,艾宏旭,纪珍辰,王艳秋,郑福,孙志斌..月球熔岩管点云的曲率优化表面重建[J].光学精密工程,2025,33(11):1782-1792,11.基金项目
国家重点研发计划资助项目(No.2023YFC2604900,No.2023YFC2604904,No.2023YFF0719800,No.2016YFE0131500) （No.2023YFC2604900,No.2023YFC2604904,No.2023YFF0719800,No.2016YFE0131500）
中国科学院科学仪器发展计划资助项目(No.YJKYYQ20190008) （No.YJKYYQ20190008）
