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3D Digital protection and representation of burial ruins based on LiDAR and UAV survey.
- Source :
-
Measurement & Control (0020-2940) . Jul/Aug2022, Vol. 55 Issue 7/8, p555-566. 12p. - Publication Year :
- 2022
-
Abstract
- To improve the efficiency and accuracy of digital protection of burial sites, the digital protection of burial sites was studied by the collaborative observation technology of LiDAR and unmanned aerial vehicle (UAV) mapping. Multi-feature constrained iterative global registration algorithm is used to realize fast registration of multi-site cloud, the Structure from motion (SFM)-based algorithm is used to generate dense point cloud from UAV image, and then the Iterative Closest Point(ICP) algorithm is used to realize the fusion of point cloud data on-site and image. According to the fused data, a variety of measurable results, such as high-precision burial model and contour map, are produced, and an orthophoto generation system is written independently, which can fully automatically generate high-precision orthophoto map and realize the digitalization of the burial sites. Taking the protection application of the burial site in Yaoheyuan, Ningxia, one of the top 10 archeological discoveries in China in 2017, with guaranteed data accuracy and integrity, the surveying and mapping data of the tomb site was obtained quickly. The global registration accuracy of the proposed algorithm is within 1 cm, and the registration efficiency was superior to the current mainstream open source algorithm, which verified the feasibility and efficiency of this method. It provides an effective scheme for the digital protection of burial cultural heritage, and is also suitable for the digital protection of other heritage sites in the World Heritage List such as Panlongcheng Site and Sanxingdui. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00202940
- Volume :
- 55
- Issue :
- 7/8
- Database :
- Academic Search Index
- Journal :
- Measurement & Control (0020-2940)
- Publication Type :
- Academic Journal
- Accession number :
- 159358661
- Full Text :
- https://doi.org/10.1177/00202940221110949