Noise Point Detection From Airborne LiDAR Point Cloud Based on Spatial Hierarchical Directional Relationship-Reference-Cited by-同舟云学术

Noise Point Detection From Airborne LiDAR Point Cloud Based on Spatial Hierarchical Directional Relationship

Published:2022 Issue: Volume:10 Page:82076-82091
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lin Yunhao¹^ORCID,Wang Yanjun¹,Wang Shuhan¹,Li Shaochun¹,Wang Mengjie¹,Cai Hengfan¹,Teng Fei¹

Affiliation:

1. Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Science and Technology Program of Hunan Province

Postgraduate Scientific Research Innovation Project of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09849659.pdf?arnumber=9849659

Reference47 articles.

1. An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation

2. A Noise-Removal Algorithm Without Input Parameters Based on Quadtree Isolation for Photon-Counting LiDAR

3. A parameter-free progressive TIN densification filtering algorithm for lidar point clouds

4. A progressive morphological filter for removing nonground measurements from airborne LIDAR data

5. Filtering Airborne Laser Scanning Data with Morphological Methods

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