基于全波形激光雷达数据分解方法的研究

Study of Decomposition Based on Full-waveform Lidar Data

波形分解是全波形激光雷达数据处理的关键技术之一,通过雅克比矩阵更新与否以及阻尼系数的调整,对优化LM(Levenberg-Marquard)算法进行了研究。实验表明,该方法可最优化求解足印内各波形分量的振幅、中心位置和半宽,而不必每次迭代时都需计算雅克比矩阵,简化了计算过程,提高了计算效率,最终得到的模拟波形能够非常好地拟合原始波形。

Waveform decomposition is one of the key technologies in processing of full-waveform Lidar data. Study of optimizing the LM（Levenberg-Marquard） algorithm by the mean of updating or not the Jacobian matrix, and adjusting the damping coefficient. The experimental results show that the method can optimize the amplitude, center position and half width of each component in the footprint. It is unnecessary to calculate the Jacobian matrixduringeach iteration. So the method simplifies the calculation process and improves the computational efficiency,and the simulation waveform can be used to fit the original waveform very well.