基于三次样条函数的激光雷达数据可视化插值法

Interpolation method for lidar data visualization based on cubic spline function

传统的可视化软件与方法不能够准确地反映受大气湍流以及大气边界层影响的大气参数的细节信息,难以实现连续性的大气参数演变过程。提出了一种基于三次样条函数的激光雷达数据可视化插值法。分析了激光雷达数据的离散型特点,确定影响大气激光雷达数据可视化图形的关键因素,利用一定大气范围内的观测数据相互影响的关系,结合三次样条插值函数对插值数据进行修正并拟合观测数据的整体变化趋势。实验结果表明,该方法能够提高离散激光雷达数据间插值数据的准确性与可视化图形的平滑性,为激光雷达数据分析提供了有力手段。

Traditional visualization software and method can not accurately describe the details of atmospheric parameters under the influence of atmospheric turbulence and boundary layer, and it is difficult to show the continuous var- ying process of atmospheric parameters. This study puts forward a new interpolation method for lidar data visualization based on cubic spline function. Firstly, the discrete characteristics of the lidar data are analyzed, and the key factors that influence lidar data visualization graphics are determined. Secondly, based on the mutual influence of the obser- vation data in a certain atmosphere range, the interpolated data are revised according to the observation data around the interpolation points, and the varying tendency of lidar data is fitted with cubic spline function. The experimental results show that the proposed method can improve the interpolation accuracy of discrete lidar data and the smoothness of visualization graphics,which provides a strong means for lidar data analysis.