A Morphological LiDAR Points Cloud Filtering Method based on GPGPU

Shuo Li, Hui Wang, Qiuhe Ma, Xuan Zha

2016

Abstract

Because of its large amount of data, airborne LiDAR points cloud filtering is often time-consuming. On the basis of the traditional morphological LiDAR points cloud filtering, a method which adopted the parallel technique based on GPU and assigned the massive operations to be parallel executed in many computing unit to achieve the purpose of fast filtering was proposed. Through the corresponding experiments, the validity and efficiency of the proposed LiDAR points cloud filtering method were verified.

References

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Paper Citation


in Harvard Style

Li S., Wang H., Ma Q. and Zha X. (2016). A Morphological LiDAR Points Cloud Filtering Method based on GPGPU . In Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-188-5, pages 80-84. DOI: 10.5220/0005864800800084


in Bibtex Style

@conference{gistam16,
author={Shuo Li and Hui Wang and Qiuhe Ma and Xuan Zha},
title={A Morphological LiDAR Points Cloud Filtering Method based on GPGPU},
booktitle={Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2016},
pages={80-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005864800800084},
isbn={978-989-758-188-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - A Morphological LiDAR Points Cloud Filtering Method based on GPGPU
SN - 978-989-758-188-5
AU - Li S.
AU - Wang H.
AU - Ma Q.
AU - Zha X.
PY - 2016
SP - 80
EP - 84
DO - 10.5220/0005864800800084