Correction of Terrestrial LiDAR Data Using a Hybrid Model

Wallace Mukupa; Gethin Wyn Roberts; Craig Matthew Hancock; Khalil Al-Manasir

Correction of Terrestrial LiDAR Data Using a Hybrid Model

Wallace Mukupa, Gethin Wyn Roberts, Craig Matthew Hancock, Khalil Al-Manasir

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

Original language	English
Title of host publication	FIG Working Week 2017
Subtitle of host publication	Surveying the world of tomorrow : from digitisation to augmented reality. Helsinki, Finland, May 29–June 2, 2017
Number of pages	26
Publication status	Published - 2017

Keywords

Terrestrial laser scanning
LiDAR
Intensity correction
Concrete

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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TS03F_mukupa_roberts_et_al_8547Final published version, 1.32 MB

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title = "Correction of Terrestrial LiDAR Data Using a Hybrid Model",

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.",

keywords = "Terrestrial laser scanning, LiDAR, Intensity correction, Concrete",

author = "Wallace Mukupa and Roberts, {Gethin Wyn} and Hancock, {Craig Matthew} and Khalil Al-Manasir",

year = "2017",

language = "English",

booktitle = "FIG Working Week 2017",

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Correction of Terrestrial LiDAR Data Using a Hybrid Model. / Mukupa, Wallace; Roberts, Gethin Wyn; Hancock, Craig Matthew et al.
FIG Working Week 2017: Surveying the world of tomorrow : from digitisation to augmented reality. Helsinki, Finland, May 29–June 2, 2017. 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Correction of Terrestrial LiDAR Data Using a Hybrid Model

AU - Mukupa, Wallace

AU - Roberts, Gethin Wyn

AU - Hancock, Craig Matthew

AU - Al-Manasir, Khalil

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Terrestrial laser scanning

KW - LiDAR

KW - Intensity correction

KW - Concrete

UR - https://www.fig.net/fig2017/

M3 - Conference contribution

BT - FIG Working Week 2017

ER -

Correction of Terrestrial LiDAR Data Using a Hybrid Model

Abstract

Keywords

UN SDGs

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