A Robust Filtering Algorithm of LiDAR Data for DTM Extraction
Yang Ming, Chujiang Chen
Available Online April 2013.
- https://doi.org/10.2991/icsem.2013.234How to use a DOI?
- LiDAR, ground filtering, digital terrain model
- For DTM extraction of road linear project from LiDAR data, this paper proposes a robust ground filtering algorithm. Firstly, a pyramidal hierarchical structure of ground candidate points is formed. Secondly, in each level, the Thin Plate Spline (TPS) surface interpolation is iteratively used to produces smooth surfaces, and based on the point’s residuals from the surface the ground candidate points are inspected. The experiments show that this method correctly determines DTM even in those cases of heavy vegetation, and achieve a better result for the road.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yang Ming AU - Chujiang Chen PY - 2013/04 DA - 2013/04 TI - A Robust Filtering Algorithm of LiDAR Data for DTM Extraction BT - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13) PB - Atlantis Press SP - 1100 EP - 1103 SN - 1951-6851 UR - https://doi.org/10.2991/icsem.2013.234 DO - https://doi.org/10.2991/icsem.2013.234 ID - Ming2013/04 ER -