A Denoising Method for LiDAR Full-Waveform Data

作者：Lai, Xudong; Zheng, Min^*

来源：Mathematical Problems in Engineering, 2015, 2015: 164318.

DOI：10.1155/2015/164318

Decomposition of LiDAR full-waveform data can not only enhance the density and positioning accuracy of a point cloud, but also provide other useful parameters, such as pulse width, peak amplitude, and peak position which are important information for subsequent processing. Full-waveform data usually contain some random noises. Traditional filtering algorithms always cause distortion in the waveform. lambda/mu filtering algorithm is based on Mean Shift method. It can smooth the signal iteratively and will not cause any distortion in the waveform. In this paper, an improved. lambda/mu filtering algorithm is proposed, and several experiments on both simulated waveform data and real waveform data are implemented to prove the effectiveness of the proposed algorithm.

• 出版日期2015
• 单位武汉大学