• Infrared and Laser Engineering
  • Vol. 44, Issue 5, 1673 (2015)
Jiang Lihui1、2、*, Fu Chao2, Liu Wenqing2, and Xiong Xinglong1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: Cite this Article
    Jiang Lihui, Fu Chao, Liu Wenqing, Xiong Xinglong. Lidar backscattering signal denoising method based on adaptive multi-scale morphological filtering and EMD[J]. Infrared and Laser Engineering, 2015, 44(5): 1673 Copy Citation Text show less

    Abstract

    Becauce of interruption contained in a Lidar echo signal, mode mixing is often generated when using EMD (Empirical Mode Decomposition) to denoise such a signal. It lead to that it can′t remove the noise from useful signal easily, and make the denoising effect so worse. In order to solve this problem, a combinational algorithm was presented which combine the morphological filtering and EMD together. Firstly, an adaptive multi-scale morphological filter was used to dispose the signal and remove the interruption, as a preliminary treatment, then used EMD for denoising. At last, a simulated signal denoising experiment and a real Lidar echo signal denoising experiment were done, the results showed that SNR increased by 8.89 dB and RMSE reduced by 0.051 4 compared with using EMD to denoise directly in the former experiment, the mean-SNR after 6 km increased by 3.356 4 dB in the later. This combinational algorithm can restrain mode mixing effectively, and has a better denoising effect and application prospects.
    Jiang Lihui, Fu Chao, Liu Wenqing, Xiong Xinglong. Lidar backscattering signal denoising method based on adaptive multi-scale morphological filtering and EMD[J]. Infrared and Laser Engineering, 2015, 44(5): 1673
    Download Citation