Correction of Terrestrial LiDAR Data Using a Hybrid Model (8547) |
| Wallace Mukupa (China, PR), Gethin Roberts (United Kingdom), Craig Hancock and Khalil Al-Manasir (China, PR) |
Mr Wallace Mukupa
PhD Student
The University of Nottingham
Faculty of Science and Engineering
Department of Civil Engineering
The University of Nottingham
199 Taikang East Road
Ningbo
315100
China, PR
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| Corresponding author Mr Wallace Mukupa (email: wallace.mukupa[at]nottingham.edu.cn, tel.: +86 13486006466) |
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| [ abstract ] [ paper ] [ handouts ] |
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Published on the web 2017-03-10
Received 2016-10-01 / Accepted 2017-02-01 |
| This paper is one of selection of papers published for the FIG Working Week 2017 in Helsinki, Finland and has undergone the FIG Peer Review Process. |
FIG Working Week 2017
ISBN 978-87-92853-61-5 (Online) ISBN 978-87-92853-62-2 (Printed)
ISSN 2307-4086
https://www.fig.net/resources/proceedings/fig_proceedings/fig2017/index.htm
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Abstract |
| The utilization of Terrestrial Laser Scanning (TLS) intensity data in the field of surveying engineering and many other disciplines is on the increase due to its wide applicability in studies such as change detection, deformation monitoring and material classification. Radiometric correction of TLS data is an important step in data processing so as to reduce the error in the data. In this paper, a hybrid method for correcting intensity data has been presented. The proposed hybrid method aims at addressing two issues. Firstly, the issue of near distance effects for scanning measurements that are taken at short distances (1 to 6 metres) and secondly, it takes into account the issue of target surface roughness as expounded in the Oren-Nayar reflectance model. The proposed hybrid method has been applied to correct concrete intensity data that was acquired using the Leica HDS7000 laser scanner. The results of this proposed correction model are presented to demonstrate its feasibility and validity. |
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| Keywords: Laser scanning; Remote sensing; Engineering survey; Terrestrial Laser Scanning; LiDAR; Intensity correction; Concrete |
