Noise Removal Algorithm of LIDAR Point Clouds Based on 3DFinite-element Analysis
三维有限元分析的LIDAR点云噪声剔除算法

According to analysis of the limitations of traditional algorithms, such as local points fitting and frequency domainsignal analysis, a typical noise removalremoval algorithm of LIDAR point clouds based on 3 D finite-element analysis is proposed.Firstly, point clouds is partitioned into smaller and similar units by finite elements named space hexahedron model. Andthen, all of the units are classified into noise units or non-noise units with adjacency-based reasoning rules. Finally, the lownoise is removed by iterative processing with finer threshold. In this approach, we did experiments with a real strip data whichis obtained by an international mainstream system. The result shows that finite-element analysis has good performance in noiseremoval.soil dielectric constant, organic matter, humus, microwave remote sensing