海洋测绘2026，Vol.46Issue(2)：14-19,6.DOI:10.3969/j.issn.1671-3044.2026.02.003
一种面向海底陡坡的ALB点云滤波与恢复方法
An ALB bathymetric point cloud filtering algorithm based on adaptive morphological filtering and hyperbolic surface fitting
摘要
Abstract
Point clouds are a fundamental data source for reconstructing three-dimensional marine scenes.To address the uncertainties in processing Airborne LiDAR Bathymetry(ALB)point clouds over steep seabed slopes,this paper proposes a point cloud filtering algorithm that integrates adaptive morphological filtering with hyperbolic surface fitting.Firstiy,a Gaussian function is applied to fit the primary peak of the ALB point cloud elevation histogram,thereby determining the sea surface elevation.By optimizing the depth threshold,sea-surface points are separated while shallow seabed points are retained.Subsequently the point cloud is then divided into grids to construct local reference surfaces,and elevation residuals are analyzed to identify candidate noise points.Meanwhile,a K-D tree is constructed to calculate the number of neighboring points;if the number is less than the minimum threshold,the candidate noise label is preserved and water-body filtering is performed accordingly.Finally,a three-dimensional seabed topography model is accomplished using hyperbolic surface fitting,and residual analysis is used to recover valid steep-slope points that may have been erroneously removed.Experimental results demonstrate that the proposed algorithm achieves a total error rate of 1.64%and a Kappa coefficient of 0.946,outperforming existing methods.It not only accomplishes the effective extraction of ALB seabed topography but also effectively preserves the characteristic details of steep-slope areas.关键词
机载LiDAR测深/形态学滤波/K-D树/双曲面拟合/Kappa系数Key words
airborne LiDAR bathymetry/morphology filter/K-D tree/hyperbolic surface fitting/Kappa coefficient分类
天文与地球科学引用本文复制引用
林少凯,欧阳永忠,洪黎丹,何西,陆长锴..一种面向海底陡坡的ALB点云滤波与恢复方法[J].海洋测绘,2026,46(2):14-19,6.基金项目
自然资源部海洋环境探测技术与应用重点实验室开放基金(MESTA-2023-A002) （MESTA-2023-A002）
自然资源部南海局2024年度科技发展基金项目(240103) （240103）
国家自然科学基金项目(42174013) （42174013）
2024福建省科技重大专项(科教联合)项目(2024HZ026009) （科教联合）
福建理工大学引进科研教学团队资金项目(GY-24015). （GY-24015）
