| Title |
Research On Extraction Algorithm Of Building Outline Based On Point Cloud |
| ID_Doc |
45386 |
| Authors |
Li J.; Li S.; Zhu D.; Wang Y. |
| Year |
2022 |
| Published |
Proceedings of SPIE - The International Society for Optical Engineering, 12173 |
| DOI |
http://dx.doi.org/10.1117/12.2634543 |
| Abstract |
As an important element of a smart city, building outlines are widely used in the fields of urban space analysis, building classification statistics and digital city modeling. Ground laser scanning captures three-dimensional point clouds with high flexibility and high precision, and provides important data support for extracting building outlines. The traditional method of extracting building contour is easily interfered by other factors, which leads to the problem of jagged contour extraction and low extraction accuracy. The variable radius A-shapes building point cloud contour extraction method based on the least squares proposed in this paper combines the advantages of least squares straight line fitting and rolling circle detection to optimize the key contour points, which can effectively remove the jagged contour lines. It has high extraction accuracy and good robustness. The experimental results show that, compared with the Variable radius Alpha Shapes (VA-Shapes) algorithm, the building outline extracted by the method in this paper is clear and complete, and the extraction effect of the building outline with more corner features is better. The accuracy of the obtained roof contour line is higher. © 2022 SPIE |
| Author Keywords |
3D laser scanner; Contour point optimization; Least square algorithm; Outline extraction; Rolling circle detection |
