Ideal system morphology and reflectivity measurements for radiative-transfer model development and validation

T. J. Kulp; R. L. Sommers; K. L. Krafcik; B. E. Mills; T. A. Reichardt; J. K. Dorrance; C. F. LaCasse IV; K. H. Fuerschbach; J. Craven

doi:10.1117/12.2224637

17 May 2016 Ideal system morphology and reflectivity measurements for radiative-transfer model development and validation

T. J. Kulp, R. L. Sommers, K. L. Krafcik, B. E. Mills, T. A. Reichardt, J. K. Dorrance, C. F. LaCasse IV, K. H. Fuerschbach, J. Craven

Author Affiliations +

Proceedings Volume 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII; 98400H (2016) https://doi.org/10.1117/12.2224637
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

This paper describes measurements being made on a series of material systems for the purpose of developing a radiative-transfer model that describes the reflectance of light by granular solids. It is well recognized that the reflectance spectra of granular materials depend on their intrinsic (n(λ) and k(λ)) and extrinsic (morphological) properties. There is, however, a lack of robust and proven models to relate spectra to these parameters. The described work is being conducted in parallel with a modeling effort¹ to address this need. Each follows a common developmental spiral in which material properties are varied and the ability of the model to calculate the effects of the changes are tested. The parameters being varied include particle size/shape, packing density, material birefringence, optical thickness, and spectral contribution of a substrate. It is expected that the outcome of this work will be useful in interpreting reflectance data for hyperspectral imaging (HSI), and for a variety of other areas that rely on it.

Citation Download Citation

T. J. Kulp, R. L. Sommers, K. L. Krafcik, B. E. Mills, T. A. Reichardt, J. K. Dorrance, C. F. LaCasse IV, K. H. Fuerschbach, and J. Craven "Ideal system morphology and reflectivity measurements for radiative-transfer model development and validation", Proc. SPIE 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII, 98400H (17 May 2016); https://doi.org/10.1117/12.2224637

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