Temperature Compensation for Radiometric Correction of Terrestrial LiDAR Intensity Data

Correction of terrestrial Light Detection and Ranging (LiDAR) intensity data has been increasingly studied in recent years. The purpose is to obtain additional insight into the scanned environment that is not available from the geometric information alone. Radiometric correction, as the name implies...

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Main Authors: Angus F. C. Errington, Brian L. F. Daku
Format: Article
Language:English
Published: MDPI AG 2017-04-01
Series:Remote Sensing
Subjects:
TLS
Online Access:http://www.mdpi.com/2072-4292/9/4/356
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spelling doaj-36c0668c253d4280ab1316444894342c2020-11-24T23:24:14ZengMDPI AGRemote Sensing2072-42922017-04-019435610.3390/rs9040356rs9040356Temperature Compensation for Radiometric Correction of Terrestrial LiDAR Intensity DataAngus F. C. Errington0Brian L. F. Daku1Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, CanadaDepartment of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, CanadaCorrection of terrestrial Light Detection and Ranging (LiDAR) intensity data has been increasingly studied in recent years. The purpose is to obtain additional insight into the scanned environment that is not available from the geometric information alone. Radiometric correction, as the name implies, corrects the received intensity to standard reflectance values in the range of ( 0 , 1 ) . This correction typically compensates for the dependence of angle and distance. This paper presents an additional compensation for temperature that may be necessary for some LiDAR instruments such as the Faro Focus 3 D X 330 laser scanner. It is also shown that temperature compensation is not necessary for the Riegl VZ–400. Another important contribution of this work is the verification of a previously published radiometric correction in different environments. The correction was applied to two different Terrestrial Laser Scanner (TLS) instruments: a Faro Focus 3 D X 330 and Riegl VZ-400. Overall, the VZ-400, without temperature compensation, produced better results with a Root Mean Square (RMS) of the standard deviation of error being 0.053 and a RMS of the mean error of 0.036 compared to 0.069 and 0.046 for the Faro Focus 3 D X 330. It was found, for the case of the Faro device, that the temperature of the instrument played an important role in the accuracy of the results. The proposed temperature compensation method improved the RMS standard deviation of the error by 1.4 times and the RMS of the error by 2.6 times, compared to the uncompensated results.http://www.mdpi.com/2072-4292/9/4/356LiDARradiometryreflectanceTLS
collection DOAJ
language English
format Article
sources DOAJ
author Angus F. C. Errington
Brian L. F. Daku
spellingShingle Angus F. C. Errington
Brian L. F. Daku
Temperature Compensation for Radiometric Correction of Terrestrial LiDAR Intensity Data
Remote Sensing
LiDAR
radiometry
reflectance
TLS
author_facet Angus F. C. Errington
Brian L. F. Daku
author_sort Angus F. C. Errington
title Temperature Compensation for Radiometric Correction of Terrestrial LiDAR Intensity Data
title_short Temperature Compensation for Radiometric Correction of Terrestrial LiDAR Intensity Data
title_full Temperature Compensation for Radiometric Correction of Terrestrial LiDAR Intensity Data
title_fullStr Temperature Compensation for Radiometric Correction of Terrestrial LiDAR Intensity Data
title_full_unstemmed Temperature Compensation for Radiometric Correction of Terrestrial LiDAR Intensity Data
title_sort temperature compensation for radiometric correction of terrestrial lidar intensity data
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2017-04-01
description Correction of terrestrial Light Detection and Ranging (LiDAR) intensity data has been increasingly studied in recent years. The purpose is to obtain additional insight into the scanned environment that is not available from the geometric information alone. Radiometric correction, as the name implies, corrects the received intensity to standard reflectance values in the range of ( 0 , 1 ) . This correction typically compensates for the dependence of angle and distance. This paper presents an additional compensation for temperature that may be necessary for some LiDAR instruments such as the Faro Focus 3 D X 330 laser scanner. It is also shown that temperature compensation is not necessary for the Riegl VZ–400. Another important contribution of this work is the verification of a previously published radiometric correction in different environments. The correction was applied to two different Terrestrial Laser Scanner (TLS) instruments: a Faro Focus 3 D X 330 and Riegl VZ-400. Overall, the VZ-400, without temperature compensation, produced better results with a Root Mean Square (RMS) of the standard deviation of error being 0.053 and a RMS of the mean error of 0.036 compared to 0.069 and 0.046 for the Faro Focus 3 D X 330. It was found, for the case of the Faro device, that the temperature of the instrument played an important role in the accuracy of the results. The proposed temperature compensation method improved the RMS standard deviation of the error by 1.4 times and the RMS of the error by 2.6 times, compared to the uncompensated results.
topic LiDAR
radiometry
reflectance
TLS
url http://www.mdpi.com/2072-4292/9/4/356
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