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A novel fast classification filtering algorithm for LiDAR point clouds based on small grid density clustering

Xingsheng Deng Guo Tang Qingyang Wang

大地测量与地球动力学（英文版）2022，Vol.13Issue(1)：38-49,12.

A novel fast classification filtering algorithm for LiDAR point clouds based on small grid density clustering

Xingsheng Deng ¹Guo Tang ¹Qingyang Wang¹

作者信息

1. School of Traffic and Transportation Engineering,Changsha University of Science & Technology,Changsha,410114,China
折叠

摘要

关键词

Small grid density clustering/DBSCAN/Fast classification filtering algorithm

Key words

Small grid density clustering/DBSCAN/Fast classification filtering algorithm

引用本文复制引用

Xingsheng Deng,Guo Tang,Qingyang Wang..A novel fast classification filtering algorithm for LiDAR point clouds based on small grid density clustering[J].大地测量与地球动力学（英文版）,2022,13(1):38-49,12.

基金项目

The Natural Science Foundation of Hunan Province,China (No.2020JJ4601) （No.2020JJ4601）

Open Fund of the Key Laboratory of Highway Engi-neering of Ministry of Education (No.kfj190203). （No.kfj190203）

大地测量与地球动力学（英文版）

OACSCDEI

ISSN：1674-9847

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