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Articles

Reflectance properties of grey-scale Spectralon® as a function of viewing angle, wavelength, and polarization

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Pages 2510-2523 | Received 31 Oct 2015, Accepted 03 Mar 2016, Published online: 13 May 2016
 

ABSTRACT

The remote-sensing community uses grey-scale Spectralon to evaluate the performance of instruments designed to observe geologic surfaces with a range of reflectance values. This article presents the normalized biconical reflectance factor of a series of grey-scale Spectralon targets taken at viewing angles ranging from 10° to 80°. The darkest Spectralon standard, when illuminated at nadir incidence with s-polarized 1064 nm light, first undergoes a decrease in reflectance factor with increasing viewing angle, then encounters a minimum, after which the reflectance factor increases with increasing viewing angle. When progressively brighter Spectralon samples are measured, the reflectance factor dip at lower emergence angles becomes less pronounced and the slope at higher emergence angles is more gradual until, for the 20% Spectralon sample, the curve dips downward at the highest emergence angles. Measuring the grey-scale Spectralon set of targets using p-polarized incident light, the same trends described above are seen, except for the darkest Spectralon target, which monotonically decreases in reflectance factor. The data show a total decrease of 44%. The reflectance factor curves observed at 852 nm are similar to those seen at 1064 nm in that the same number of inflection points and the same sign of slope is seen at both wavelengths. However, comparing two different incidence angles using 1064 nm s polarized incident light, the slope of the reflectance factor curve does change significantly. For the brightest Spectralon target, the slope is positive for = 60° and negative for = 0° at all viewing angles measured. For the darkest Spectralon target, the slope is larger for = 60° than for = 0° at all viewing angles measured. At = 60°, the data show a total increase of 1360% in reflectance factor.

Acknowledgements

Evan Eshelman, Isaac DeSouza, Ian Nicklin, and Matthew Izawa provided helpful insights during the course of the work. Many thanks to Robotworks Corporation whose expertise contributed greatly to the design and construction of MAGI.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was funded, in part, by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Canadian Space Agency (CSA).

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