• Acta Optica Sinica
  • Vol. 31, Issue 12, 1211004 (2011)
Jiao Hongwei1、*, Qin Shiqiao2, Wang Xingshu1, Hu Chunsheng1, and Wu Wei1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/aos201131.1211004 Cite this Article Set citation alerts
    Jiao Hongwei, Qin Shiqiao, Wang Xingshu, Hu Chunsheng, Wu Wei. Three-Dimensional Imaging Lidar Signal Denoising Method Based on Empirical Mode Decomposition[J]. Acta Optica Sinica, 2011, 31(12): 1211004 Copy Citation Text show less

    Abstract

    A grads method is used to process lidar signal, by which the scopes and positions of abrupt change can be detected. Based on these grads messages, a translation sequence can be calculated and is added to original lidar signal, which makes the parts of abrupt change in original lidar signal removed. The abrupt change removed signal is decomposed and denoised by empirical mode decomposition, which can avoid mode mix and local surge phenomena. This denoising method is applied to real lidar data denoising. The experiment results show the effectiveness of this method. It can remove noise in signal effectively in flat part and keep abrupt change well in signal.
    Jiao Hongwei, Qin Shiqiao, Wang Xingshu, Hu Chunsheng, Wu Wei. Three-Dimensional Imaging Lidar Signal Denoising Method Based on Empirical Mode Decomposition[J]. Acta Optica Sinica, 2011, 31(12): 1211004
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