A method for automatically extracting ancient city wall data from lidar point cloud data based on city wall sections
A technology for automatic extraction of point cloud data, applied in the fields of 3D image data details, image data processing, 3D modeling, etc. Strong adaptability, solving time-consuming and labor-intensive effects
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[0050] like figure 2 As shown, the experimental data of this embodiment is the airborne LiDAR point cloud data in the urban area of Nanjing City, Jiangsu Province, with an average point spacing of 1 m, an elevation accuracy of 20 cm, and a plane accuracy of 50 cm.
[0051] This embodiment chooses figure 2 The three sections of the experimental area on the city wall are verified, see figure 2 In the areas shown in A, B, and C, the LiDAR point cloud data is rendered according to elevation. The first part of the city wall experiment area A covers an area of 1300m*1000m, including 5589094 LiDAR data points. The total length of the city wall is 2062m, and there are many missing data on the side. Certain vegetation is attached to the top edge of the city wall, and there are city gate structures on the other side. The second part of the city wall experiment area B covers an area of 630m*630m and contains 1,674,059 LiDAR data points. The total length of the city wall is 674...
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