A Denoising Method for LiDAR Full-Waveform Data. (22nd July 2015)

• Record Type: Journal Article
• Authors: Lai, Xudong; Zheng, Min
• Other Names: Dinwiddie Ralph B. Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2015(2015)
• Publication Date: 2015-07-22
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2015/164318
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.λ / μ 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 improvedλ / μ 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.