基于自适应TIN滤波的机载LiDAR DTM构建研究

Study of Airborne LiDAR DTM Construction Based onAdaptive TIN Filtering

针对激光雷达测量(LiDAR)点云滤波算法易受地形起伏影响等问题,本文提出一种自适应不规则三角网DTM构建算法。采用领域搜索方法对低点与地面点进行清洗,通过两点之间的角度和距离自适应调整阈值参数,以达到自适应滤波构建DTM。为了验证算法的可行性,对比分析了渐进形态、坡度最大值、高程阈值滤波算法的精度。实验结果表明,自适应TIN滤波算法生成DTM在地形复杂区域具有较高的精度,相关研究成果对构建高精度DTM具有一定的参考意义。

Aiming at the problem that LiDAR point cloud filtering algorithm is easily affected by terrain fluctuation,an adaptive irregu-lar triangulation DTM construction algorithm is proposed.The domain search method is used to clean low points and ground points.The angle and distance between the two points are used to adaptively adjust the threshold parameters to achieve adaptive filtering to build a DTM.In order to verify the feasibility of the algorithm,the accuracy of progressive morphology,maximum slope,and elevation threshold filtering algorithms are compared and analyzed.The experimental results show that the DTM generated by the adaptive TIN filtering algorithm has high accuracy in complex terrain areas,The related research results have certain reference significance for con-structing high-accuarcy DTM.