Reflectance modelling using terrestrial LiDAR intensity data

Errington, Angus F. C.; Daku, B.L.F.; Prugger, Arnfinn

doi:10.1109/ist.2015.7294464

Cited by 4 publications

(8 citation statements)

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“…The method used here to correct the returned intensity was first presented in [18]. It was inspired by the work of Pfeifer et al [14].…”

Section: Model Description and Fitting Approachmentioning

confidence: 99%

“…In most previous work, correcting for measurement geometry was the main focus. This mainly involved applying a distance correction [9,10], an angle correction [11,12] or both an angle and distance correction [8,[13][14][15][16][17][18][19][20]. Some of the previous work has assumed a diffuse surface so that the corrected intensity becomes the diffuse reflectance [13,14,18] or pseudoreflectance [17].…”

Section: Introductionmentioning

confidence: 99%

“…This mainly involved applying a distance correction [9,10], an angle correction [11,12] or both an angle and distance correction [8,[13][14][15][16][17][18][19][20]. Some of the previous work has assumed a diffuse surface so that the corrected intensity becomes the diffuse reflectance [13,14,18] or pseudoreflectance [17]. However, since many materials, especially manmade materials, produce specular reflections or have varying surface roughness, more complex reflectance models have been used [8,11,15,19,20].…”

Section: Introductionmentioning

confidence: 99%

“…The genesis of this research came out of verifying the model presented in [18]. During verification of the model for the Faro Focus 3D X 330 (Lake Mary, FL, USA) [21], it was discovered that the model performed very poorly on new data sets.…”

Section: Introductionmentioning

confidence: 99%

“…It is also shown how such a temperature compensation is not necessary for the Riegl VZ-400 (Horn, Austria) [22] through three verification experiments. In both cases, the radiometric calibration method is based on the work by Errington et al [18]. To the best of the authors' knowledge, this is the first time that a temperature compensation has been applied to intensity correction for terrestrial laser scanners.…”

Section: Introductionmentioning

confidence: 99%

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Temperature Compensation for Radiometric Correction of Terrestrial LiDAR Intensity Data

Errington

Daku

2017

Remote Sensing

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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 3D 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 3D 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 3D 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.

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“…The method used here to correct the returned intensity was first presented in [18]. It was inspired by the work of Pfeifer et al [14].…”

Section: Model Description and Fitting Approachmentioning

confidence: 99%