Abstract
The filtering of LiDAR points cloud data is a fundamental procedure in the production of Digital Elevation Model. Against the lack of using the relationship between the adjacent terrain and the points to be judged in the point cloud filtering, a LiDAR points cloud data filtering algorithm based on adjacent triangles in TIN (Triangulated Irregular Network) is proposed. It utilizes the elevation information of each triangle’s adjacent triangles to detect the building edge points, and acquires the building points by region growing, then detects the isolated points with the morphological filtering algorithm, finally determines the ground point set and generates DEM. We evaluate the performance of the proposed method on the ISPRS LiDAR reference dataset. Experimental results show that the algorithm can effectively remove non-ground points, keep the ground points and minimize total error rates effectively while maintaining acceptable Type I and Type II error rates.
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Acknowledgments
The work was jointly supported by the National Natural Science Foundations of China under grant No. 61472302,61272280,U1404620,and 41271447; The Program for New Century Excellent Talents in University under grant No. NCET-12-0919; The Fundamental Research Funds for the Central Universities under grant No. K5051203020, K5051303018, JB150313,JB150317,and BDY081422,; Natural Science Foundation of Shaanxi Province, under grant No.2014JM8310 and, 2010JM8027; The Creative Project of the Science and Technology State of xi’an under grant No. CXY1441(1); The State Key Laboratory of Geo-information Engineering under grant No.SKLGIE2014-M-4-4.
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Quan, Y., Song, J., Guo, X. et al. Filtering LiDAR data based on adjacent triangle of triangulated irregular network. Multimed Tools Appl 76, 11051–11063 (2017). https://doi.org/10.1007/s11042-016-3465-4
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DOI: https://doi.org/10.1007/s11042-016-3465-4