Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Laser & Optoelectronics Progress, Volume. 58, Issue 5, 0528001(2021)

LiDAR Data Classification Method Based on High Recognition Compound Derivative Feature

Hui Bai and Fengbao Yang*
Author Affiliations
  • College of Information and Communication Engineering, North University of China, Taiyuan , Shanxi 030051, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (13)
    Equations (11)
    References (13)
    Cited By (2)
    Tools
    Paper Information
    Topics
    Cited By

    Article index updated: Mar. 15, 2025

    The article is cited by 2 article(s) CLP online library. (Some content might be in Chinese.)
    Tools

    Get Citation

    Copy Citation Text

    Hui Bai, Fengbao Yang. LiDAR Data Classification Method Based on High Recognition Compound Derivative Feature[J]. Laser & Optoelectronics Progress, 2021, 58(5): 0528001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jun. 22, 2020

    Accepted: Aug. 3, 2020

    Published Online: Apr. 19, 2021

    The Author Email: Yang Fengbao (yfengb@163.com)

    DOI:10.3788/LOP202158.0528001

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology