journal article·2023-05-22Open access

Optimization Method of Square Hole Measurement Based on Generalized Point Photogrammetry

Chengli Zhao, Chenyang Fan, Zhangyan Zhao

Applied Sciences· Volume 13· Issue 10

Abstract

The theory of generalized point photogrammetry extends the traditional point-based photogrammetry to line-based photogrammetry, expanding the application scope of photogrammetry in engineering. In order to solve the problem of accurate positioning between the square rod and the square hole in the current project, the position of the square hole should be accurately measured first. For this purpose, an optimization method of square hole measurement based on generalized point photogrammetry is proposed. This method first uses the traditional photogrammetric method to calculate the initial coordinates of the four points of the square hole and extract the four line segments on the image. The error equation based on generalized photogrammetry is constructed by the constraint conditions between the four spatial points, and the iterative calculation is carried out until the error is less than the threshold or the iteration number is reached. The reliability of the method is verified by numerical simulation experiments and engineering experiments. The experimental results show that the method can effectively improve the measurement accuracy and can rapidly converge. The method has high engineering application value.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: 3D Surveying and Cultural Heritage · Remote Sensing and LiDAR Applications · Optical measurement and interference techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China

CCCC Second Harbor Engineering Company Ltd., Wuhan 430040, China

Key Laboratory of Large-Span Bridge Construction Technology, Wuhan 430040, China

Research and Development Center of Transport Industry of Intelligent Manufacturing Technologies of Transport Infrastructure, Wuhan 430040, China

References (37)

Show source-provided references
1. The role of artificial intelligence in achieving the Sustainable Development Goals10.1038/s41467-019-14108-y ↗
2. Representation learning: A review and new perspectives10.1109/TPAMI.2013.50 ↗
3. A survey on security issues in service delivery models of cloud computing10.1016/j.jnca.2010.07.006 ↗
4. Wang, Z. (1979). Principle of Photogrammetry, Surveying and Mapping Publishing House.
5. Generalized Point Photogrammetry and Its Application
6. Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts10.1007/s11432-020-2955-6 ↗
7. Development and application of industrial photogrammetry technology
8. Information from imagery: ISPRS scientific vision and research agenda10.1016/j.isprsjprs.2015.09.008 ↗
9. Peng, D., Zhang, Y., and Guan, H. (2019). End-to-end change detection for high resolution satellite images using improved UNet++. Remote Sens., 11.10.3390/rs11111382 ↗
10. Data augmentation technology driven by image style transfer in self-driving car based on end-to-end learning
11. Liu, X., Zhang, Y., Ling, X., Wan, Y., Liu, L., and Li, Q. (2019). TopoLAP: Topology recovery for building reconstruction by deducing the relationships between linear and planar primitives. Remote Sens., 11.10.3390/rs11111372 ↗
12. He, Y., Zheng, S., Zhu, F., and Huang, X. (2020). Real-time 3D reconstruction of thin surface based on laser line scanner. Sensors, 20.10.3390/s20020534 ↗
13. Schumann, G.J., Brakenridge, G.R., Kettner, A.J., Kashif, R., and Niebuhr, E. (2018). Assisting flood disaster response with earth observation data and products: A critical assessment. Remote Sens., 10.10.3390/rs10081230 ↗
14. Evaluation of interest point detectors10.1023/A:1008199403446 ↗
15. Directionally constrained fully convolutional neural network for airborne LiDAR point cloud classification10.1016/j.isprsjprs.2020.02.004 ↗
16. Building change detection in very high-resolution remote sensing image based on pseudo-orthorectification10.1080/01431161.2020.1862437 ↗
17. de Sanjosé Blasco, J.J., Serrano-Cañadas, E., Sánchez-Fernández, M., Gómez-Lende, M., and Redweik, P. (2020). Application of multiple geomatic techniques for coastline retreat analysis: The case of Gerra Beach (Cantabrian Coast, Spain). Remote Sens., 12.10.3390/rs12213669 ↗
18. Zheng, S., Guo, B., and Li, C. (2011). 3D Reconstruction and Inspection of Cylinder based on Geometric Model and Generalized Point Photogrammetry. Acta Geod. Cartogr. Sin., 477–482.
19. Reconstruction of circles and rectangles by generalized point photogrammetry
20. Spatial resection and forward intersection with generalized point photogrammetry
21. Generalized photogrammetry of spaceborne, airborne and terrestrial multi-source remote sensing datasets
22. Seismic performance of prefabricated bridge columns with combination of continuous mild reinforcements and partially unbonded tendons10.12989/sss.2016.17.4.541 ↗
23. The technical requirements for operation of the Leica TCR 2003A automated total station in working conditions of the Mostecka uhelna company; Technicke zabezpeceni provozu automaticke totalni stanice Leica TCR 2003A v provoznich podminkach spolecnosti Mostecka uhelna as
24. Laser radar: Historical prospective-from the East to the West10.1117/1.OE.56.3.031220 ↗
25. Wang, J., Yi, T., Liang, X., and Ueda, T. (2023). Application of 3D Laser Scanning Technology Using Laser Radar System to Error Analysis in the Curtain Wall Construction. Remote Sens., 15.10.3390/rs15010064 ↗
26. Erdelyi, J., Kopacik, A., and Kyrinovic, P. (2020). Spatial Data Analysis for Deformation Monitoring of Bridge Structures. Appl. Sci., 10.10.3390/app10238731 ↗
27. Zang, B., Zhu, M., Zhou, X., Zhong, L., and Tian, Z. (2019). Application of S-Transform Random Consistency in Inverse Synthetic Aperture Imaging Laser Radar Imaging. Appl. Sci., 9.10.3390/app9112313 ↗
28. 3D modeling by means of videogrammetry and laser scanners for reverse engineering10.1016/j.measurement.2016.03.005 ↗
29. Development of receiver optics for simplified 3D laser scanner composition10.1016/j.measurement.2018.10.005 ↗
30. Corner validation based on extracted corner properties10.1016/j.cviu.2008.05.002 ↗
31. Luo, T., Shi, Z., and Wang, P. (2020). Robust and Efficient Corner Detector Using Non-Corners Exclusion. Appl. Sci., 10.10.3390/app10020443 ↗
32. An alternative scheme for the corner-corner contact in the two-dimensional Discontinuous Deformation Analysis10.1016/j.advengsoft.2009.09.007 ↗
33. Deep Hough Transform for Semantic Line Detection
34. Learning Regional Attraction for Line Segment Detection10.1109/TPAMI.2019.2958642 ↗
35. ULSD: Unified line segment detection across pinhole, fisheye, and spherical cameras10.1016/j.isprsjprs.2021.06.004 ↗
36. ELSED: Enhanced line SEgment drawing10.1016/j.patcog.2022.108619 ↗
37. Tao, B., and Qiu, W. (2009). Error Theory and Fundation of Surveying Adjustment, Wuhan University Press.