A Morphological LiDAR Points Cloud Filtering Method based on GPGPU

Shuo Li; Hui Wang; Qiuhe Ma; Xuan Zha

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Paper

A Morphological LiDAR Points Cloud Filtering Method based on GPGPU

Topics: Parallel and Distributed Computation; RADAR and LiDAR

In Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management GISTAM - Volume 1, 80-84, 2016 , Rome, Italy

Authors: Shuo Li ¹ ; Hui Wang ¹ ; Qiuhe Ma ¹ and Xuan Zha ²

Affiliations: ¹ Zhengzhou Institute of Surveying & Mapping, China ; ² Tianjin Institute of Hydrographic Surveying and Charting and, China

Keyword(s): LiDAR, Morphology, Points Cloud Filtering, GPU, CUDA.

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.

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Paper citation in several formats:

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 - GISTAM; ISBN 978-989-758-188-5; ISSN 2184-500X, SciTePress, pages 80-84. DOI: 10.5220/0005864800800084

@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 - GISTAM},
year={2016},
pages={80-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005864800800084},
isbn={978-989-758-188-5},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - A Morphological LiDAR Points Cloud Filtering Method based on GPGPU
SN - 978-989-758-188-5
IS - 2184-500X
AU - Li, S.
AU - Wang, H.
AU - Ma, Q.
AU - Zha, X.
PY - 2016
SP - 80
EP - 84
DO - 10.5220/0005864800800084
PB - SciTePress