A New Filter of Morphological Opening by Reconstruction for LiDAR Data

DOI

10.2991/rsete.2013.212How to use a DOI?

Keywords

LiDAR, data filtering, morphological opening by reconstruction, white top-hat reconstruction, geodesic dilate

Abstract

In this paper, a new filtering algorithm of LiDAR point clouds is presented, which can work well in complex cityscapes. This method generates marker image from grid DSM by erosion firstly, and then geodesic dilate on marker image repeatedly to implement opening by reconstruction process, finally white top-hat reconstruction are used to achieve the nDSM and classify ground and non-ground object points. When tested against the ISPRS LiDAR reference urban dataset and compared with representative filtering methods, this approach is particularly effective at minimizing Type I error and Total error rates, while maintaining acceptable Type II error rates. So this approach has good reliability and practicability in complex urban area.

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  - Meiling Sun
AU  - Yongshu Li
AU  - Qiang Chen
AU  - Guolin Cai
AU  - Zizhen Ren
PY  - 2013/08
DA  - 2013/08
TI  - A New Filter of Morphological Opening by Reconstruction for LiDAR Data
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 875
EP  - 878
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.212
DO  - 10.2991/rsete.2013.212
ID  - Sun2013/08
ER  -