2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

A Robust Filtering Algorithm of LiDAR Data for DTM Extraction

Authors
Yang Ming, Chujiang Chen
Corresponding Author
Yang Ming
Available Online April 2013.
DOI
https://doi.org/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.
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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
DOI
https://doi.org/10.2991/icsem.2013.234How to use a DOI?
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
UR  - https://doi.org/10.2991/icsem.2013.234
DO  - https://doi.org/10.2991/icsem.2013.234
ID  - Ming2013/04
ER  -