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Proceedings Paper

Influence of density on hyperspectral BRDF signatures of granular materials
Author(s): Douglas Scott Peck; Malachi Schultz; Charles M. Bachmann; Brittany Ambeau; Justin Harms
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Paper Abstract

Recent hyperspectral measurements of composite granular sediments of varying densities have revealed phenomena that contradict what radiative transfer theory would suggest.5 In high-density sands where dominant constituents are translucent and supplementary, darker grains are present, bidirectional reflectance distribution function (BRDF) measurements of high density sediments showed reduced intensity when compared to lower density counterparts. It is conjectured that this is due to diminished multiple scattering from the darker particles which more optimally fill pore space as density increases. The goal of these experiments is to further expand upon these earlier results that were conducted primarily in the principal scattering plane and only at minimum and maximum densities. In the present study, the BRDF of granular composites is compared along a gradient of densities for optically contrasting materials. Systematic analysis of angular and material dependence will be used to develop better models for multiple scattering effects of the granular materials. The measurements in this experiment used the recently constructed, laboratory and field-deployable Goniometer of the Rochester Institute of Technology (GRIT), which measures BRDF for geometries covering 360 degrees in azimuth and 65 degrees in zenith. In contrast to the previous studies limited to the principal scattering plane, GRIT provides a full hemispherical BRDF measurement.

Paper Details

Date Published: 21 May 2015
PDF: 13 pages
Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, 94720F (21 May 2015); doi: 10.1117/12.2177455
Show Author Affiliations
Douglas Scott Peck, Rochester Institute of Technology (United States)
Malachi Schultz, Rochester Institute of Technology (United States)
Charles M. Bachmann, Rochester Institute of Technology (United States)
Brittany Ambeau, Rochester Institute of Technology (United States)
Justin Harms, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 9472:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI
Miguel Velez-Reyes; Fred A. Kruse, Editor(s)

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