米散射激光雷达剖面数据三次样条垂直水平插值法*

摘要

Since the traditional spatial data interpolation method has its limits in describing the RHI (range-height indicator) graph for Mie scattering lidar scanning profile, it cannot be applied to the visualization of Mie scattering lidar space-time scan data, and it is also difficult to achieve the continuity in atmospheric parameters evolution process. This paper analyzes the space-position relations in lidar scanning profile data based on the scanning elevation and spatial distribution characteristics of the atmospheric parameters, chooses the reference data rationally of vertical and horizontal positions, and gives the position relevant weight. The smoothness of data is revised by a cubic spline function and the missing data are replenished by interpolation finally. Results show that this method can improve effectively the accuracy of atmospheric lidar scanning data space interpolation, produce few errors;and the RHI graph becomes smooth, thus it conforms to the overall change rule of atmospheric parameters.%传统的空间数据插值方法在米散射激光雷达剖面扫描数据的距离高度显示图可视化应用方面具有一定的局限性。本文分析了米散射激光雷达剖面扫描数据以仰角为基础的空间位置关系与大气参数的空间分布特性，分别在垂直与水平位置上合理选取参考数据，给出位置相关性权重，基于三次样条函数法进行数据变化趋势的平滑性修正，完成缺失数据插值。实验结果表明，该方法能够有效提高米散射大气激光雷达扫描数据空间插值的准确性，插值数据误差小，距离高度显示图图形趋势过度平滑，符合大气参数的整体变化规律。