A Robust Filtering Algorithm of LiDAR Data for DTM Extraction

DOI

10.2991/icsem.2013.234How to use a DOI?

Keywords

LiDAR, ground filtering, digital terrain model

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 1100
EP  - 1103
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.234
DO  - 10.2991/icsem.2013.234
ID  - Ming2013/04
ER  -