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An adaptive continuous threshold wavelet denoising method for LiDAR echo signal

Dezhi Zheng Tianchi Qu Chun Hu Shijia Lu Zhongxiang Li Guanyu Yang Xiaojun Yang

Nanotechnology and Precision Engineering2025，Vol.8Issue(2)：P.51-62,12.
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Nanotechnology and Precision Engineering2025，Vol.8Issue(2)：P.51-62,12.DOI:10.1063/10.0034398

An adaptive continuous threshold wavelet denoising method for LiDAR echo signal

Dezhi Zheng 1Tianchi Qu 2Chun Hu 1Shijia Lu 3Zhongxiang Li 1Guanyu Yang 4Xiaojun Yang4

作者信息

  • 1. Advanced Research Institute of Multidisciplinary Science,Beijing Institute of Technology,Beijing 100081,China Yangtze Delta Region Academy of Beijing Institute of Technology,Jiaxing 314019,China MIIT Key Laboratory of Complex-Field Intelligent Exploration,Beijing Institute of Technology,Beijing 100081,China
  • 2. Yangtze Delta Region Academy of Beijing Institute of Technology,Jiaxing 314019,China MIIT Key Laboratory of Complex-Field Intelligent Exploration,Beijing Institute of Technology,Beijing 100081,China
  • 3. Yangtze Delta Region Academy of Beijing Institute of Technology,Jiaxing 314019,China
  • 4. Innovation and Research Institute of HIWING Technology Academy,Beijing 100074,China
  • 折叠

摘要

关键词

Single-photon LiDAR/Echo signal/Adaptive thresholding/Wavelet transform

分类

医药卫生

引用本文复制引用

Dezhi Zheng,Tianchi Qu,Chun Hu,Shijia Lu,Zhongxiang Li,Guanyu Yang,Xiaojun Yang..An adaptive continuous threshold wavelet denoising method for LiDAR echo signal[J].Nanotechnology and Precision Engineering,2025,8(2):P.51-62,12.

基金项目

funded by the National Key R&D Program of China(Grant No.2022YFC3300705) （Grant No.2022YFC3300705）

the National Natural Science Foundation of China(Grant Nos.62203056,12202048,and 62201056). （Grant Nos.62203056,12202048,and 62201056）

Nanotechnology and Precision Engineering

1672-6030

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