基于地形相关和最小二乘曲线拟合的单光子激光数据处理技术

Single photon laser data processing technology based on Terrain Correlation and least square curve fitting

摘要: 单光子激光测高已然成为激光测高领域的发展趋势。面对高重频、剖面式单光子激光数据，在参考国内外激光点云数据处理算法和对单光子激光数据特点精确分析的基础上，提出了一种基于地形相关和最小二乘曲线拟合的单光子激光数据处理方法。使用NASA（National Aeronautics and Space Administration）的机载激光雷达MABEL（Multiple Altimeter Beam Experimental LiDAR）的实际飞行数据进行了实验，并通过模拟仿真的方法对实验结果做了验证。结果表明，此方法能有效地剔除噪声，试验区的整体精度能达到97.8%。

Abstract: Single photon laser height measurement has become a trend in the field of laser altimetry. Referring to the data processing algorithms of laser point clouds at home and abroad and the accurate analysis of the characteristics of the single photon laser data with the high repetition rate and profile along the track, a single photon laser data processing method based on Terrain Correlation and least square curve fitting was proposed. The experiment using the photon cloud data obtained by NASA's airborne Lidar-MABEL(Multiple Altimeter Beam Experimental LiDAR) was implemented, and the accuracy was validated by the simulated data. The results show that the method can effectively eliminate noise, and the overall precision can reach to 97.8% in the experimental region.