
Proceedings Paper
Intensity offset and correction of solid spectral library samples measured behind glassFormat | Member Price | Non-Member Price |
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Paper Abstract
Accurate and calibrated diffuse reflectance spectra libraries of solids are becoming more important for hyperspectral and
multispectral remote sensing exploitation. Many solids are in the form of powders or granules and in order to measure
their diffuse reflectance spectra in the laboratory, it is often necessary to place the samples behind a transparent medium
such as glass or quartz for the ultraviolet (UV), visible or near-infrared spectral regions to prevent their unwanted
dispersal into the instrument or laboratory environment. Using both experimental and theoretical methods we have
found that for the case of fused quartz this leads to an intensity offset in the reflectance values. Although expected
dispersive effects were observed for the fused quartz window in the UV, the measured hemispherical reflectance values
are predominantly vertically shifted by the reflectance from the air-quartz and sample-quartz interfaces with intensity
dependent offsets leading to measured values up to ∼6% too high for a 2% reflectance surface, ∼3.8% too high for 10%
reflecting materials, approximately correct (to within experimental error) for 40% to 60% diffuse reflecting surfaces, and
∼2% too low for 99% reflecting Spectralon surfaces. For the diffuse reflectance case, the measured values are uniformly
too low due to the glass, with differences nearly 6% too high for reflectance values approaching 99%. The deviations
arise from the added reflections from the quartz surfaces as verified by theory, modeling and experiment. Empirical
correction factors were implemented into post-processing software to redress the artifact for hemispherical and diffuse
reflectance data across the 300 nm to 2300 nm range.
Paper Details
Date Published: 18 May 2013
PDF: 8 pages
Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 87431L (18 May 2013); doi: 10.1117/12.2014523
Published in SPIE Proceedings Vol. 8743:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX
Sylvia S. Shen; Paul E. Lewis, Editor(s)
PDF: 8 pages
Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 87431L (18 May 2013); doi: 10.1117/12.2014523
Show Author Affiliations
Bruce E. Bernacki, Pacific Northwest National Lab. (United States)
Rebecca L. Redding, Pacific Northwest National Lab. (United States)
Yin-Fong Su, Pacific Northwest National Lab. (United States)
Rebecca L. Redding, Pacific Northwest National Lab. (United States)
Yin-Fong Su, Pacific Northwest National Lab. (United States)
Carolyn S. Brauer, Pacific Northwest National Lab. (United States)
Timothy J. Johnson, Pacific Northwest National Lab. (United States)
Timothy J. Johnson, Pacific Northwest National Lab. (United States)
Published in SPIE Proceedings Vol. 8743:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX
Sylvia S. Shen; Paul E. Lewis, Editor(s)
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