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随着数据存储能力和处理速度的提高,小光斑机载激光雷达系统已经可以通过数字化采样来存储整个反射波形,而不仅仅是由系统提取出来的三维坐标(即离散点云)。分析波形数据最重要的优点之一是可以在后处理过程中让使用者自己来提取三维坐标。一般的分解方法基于非线性最小二乘的多项式拟合,或者有设备厂商提供的简单阈值法,无法获得高精度的分解结果。本文使用改进的EM脉冲检测算法得到回波脉冲的位置和宽度,证明是一种性能可靠、精度较高的波形分解算法。
With the increase of data storage capacity and processing speed, the small spot airborne lidar system can store the entire reflection waveform by digital sampling instead of just the three-dimensional coordinates extracted by the system (that is, the discrete point cloud). One of the most important advantages of analyzing waveform data is that it allows the user to extract three-dimensional coordinates in the post-processing. General decomposition method based on nonlinear least-squares polynomial fitting, or equipment manufacturers to provide a simple threshold method, can not get high-precision decomposition results. In this paper, we use the improved EM pulse detection algorithm to get the location and width of the echo pulse, which proves to be a reliable and accurate waveform decomposition algorithm.