Researching | Combined Filtering Algorithm for Extracting Bridge Point Cloud

Laser & Optoelectronics Progress, Volume. 60, Issue 2, 0211001(2023)

Combined Filtering Algorithm for Extracting Bridge Point Cloud

Fan Gu¹, Changlun Zhang^1、*, Zhiguang Guo², Hengyou Wang¹, Qiang He¹, and Tong An¹

Author Affiliations

¹Beijing Advanced Innovation Center for Future Urban Design, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

²China Construction Civil Engineering Co., Ltd., Beijing 100071, China

show less

Abstract Get PDF(in Chinese)

Figures&Tables (21)

References (20)

Paper Information

Figures & Tables(21)

Fig. 1. Flow chart of bridge construction point cloud extraction

Download full size

Fig. 2. Experimental point cloud data

Download full size

Fig. 3. Point cloud data after denoising (side view)

Download full size

Fig. 4. Point cloud data after denoising (vertical view)

Download full size

Fig. 5. Enclosure

Download full size

Fig. 6. Vegetation point cloud and bridge point cloud

Download full size

Fig. 7. Filtering result based on dispersion (side view)

Download full size

Fig. 8. Filtering result based on dispersion (vertical view)

Download full size

Fig. 9. Combined radius filtering result ( side view )

Download full size

Fig. 10. Combined radius filtering result ( vertical view)

Download full size

Fig. 11. Filtering result based on statistics (side view)

Download full size

Fig. 12. Filtering result based on statistics (vertical view)

Download full size

Fig. 13. Result of normal filtering (side view)

Download full size

Fig. 14. Result of normal filtering (vertical view)

Download full size

Fig. 15. Result of proposed algorithm

Download full size

Fig. 16. Filtering result of radius+colour+CSF

Download full size

Fig. 17. Filtering result of radius+altitude+CSF

Download full size

Fig. 18. Filtering result of radius+colour+normal

Download full size

Fig. 19. Filtering result of radius+altitude+normal

Download full size

Table 1. Characteristic statistical value of different ground features at red, green, and blue bands
View table
Table 1. Characteristic statistical value of different ground features at red, green, and blue bands
Object Red band Green band Blue band
Mean value Variance Mean value Variance Mean value Variance
Building 29.92 0.012 39.03 0.019 46.58 0.041
Vegetation 74.88 0.005 89.44 0.008 106.36 0.029

Table 2. Comparison results of different algorithms

Table 2. Comparison results of different algorithms

Algorithm	$R_{t}$	$D_{t}$	$R_{n}$	$D_{n}$	$E_{a}$ /%	$E_{b}$ /%	$I$ /%
Number of original point clouds	Target point cloud：4383679		Non target point cloud：7420665		Total：11804344
Radius+colour+CSF^［9］	4281579	102100	373736	7046929	5.04	4.03	97.7
Radius+altitude+CSF^［2］	4318881	64798	419295	7001370	5.65	4.10	98.5
Radius+colour+normal filtering	4314881	68798	282049	7138616	3.80	2.97	98.4
Radius+altitude+normal filtering	4347682	35997	301097	7119568	4.06	2.86	99.2
Propose algorithm	4352017	31662	54390	7366275	0.733	0.729	99.3

Tools

Get Citation

Copy Citation Text

Fan Gu, Changlun Zhang, Zhiguang Guo, Hengyou Wang, Qiang He, Tong An. Combined Filtering Algorithm for Extracting Bridge Point Cloud[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0211001

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Imaging Systems

Received: Oct. 11, 2021

Accepted: Nov. 16, 2021

Published Online: Feb. 7, 2023

The Author Email: Changlun Zhang (zclun@bucea.edu.cn)

DOI:10.3788/LOP212709

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology