Spectral variability of remotely sensed target materials: Causes, models, and strategies for mitigation and robust exploitation

J Theiler, A Ziemann, S Matteoli… - IEEE Geoscience and …, 2019 - ieeexplore.ieee.org
The purpose of this survey is to examine the major causes of spectral variability in target
materials, survey some associated physical models, and discuss how hyper spectral …

Method to derive the infrared complex refractive indices n (λ) and k (λ) for organic solids from KBr pellet absorption measurements

KA Peterson, RM Francis, CA Banach, AM Bradley… - Applied Optics, 2024 - opg.optica.org
Obtaining the complex refractive index vectors n (ν~) and k (ν~) allows calculation of the
(infrared) reflectance spectrum that is obtained from a solid in any of its many morphological …

Optimal spectral resolution for infrared studies of solids and liquids

BM Forland, KD Hughey, MJ Wilhelm… - Applied …, 2024 - journals.sagepub.com
Due to a legacy originating in the limited capability of early computers, the spectroscopic
resolution used in Fourier transform infrared spectroscopy and other systems has largely …

Comprehensive thematic T-matrix reference database: A 2015–2017 update

MI Mishchenko, NT Zakharova, NG Khlebtsov… - Journal of Quantitative …, 2017 - Elsevier
The T-matrix method pioneered by Peter C. Waterman is one of the most versatile and
efficient numerically exact computer solvers of the time-harmonic macroscopic Maxwell …

Radiative‐transfer modeling of spectra of planetary regoliths using cluster‐based dense packing modifications

G Ito, MI Mishchenko, TD Glotch - Journal of Geophysical …, 2018 - Wiley Online Library
In remote sensing of planetary bodies, the development of analysis techniques that lead to
quantitative interpretations of data sets has relatively been deficient compared to the wealth …

Quantifying uncertainty in machine learning for hyperspectral target detection and identification

N Klein, A Carr, Z Hampel-Arias… - … and Applications for …, 2022 - spiedigitallibrary.org
Machine learning approaches, such as deep neural networks, have shown recent success
for target detection and identification problems in hyperspectral imagery. However, when …

Direct prediction of bidirectional reflectance by dense particulate deposits

B Ramezanpour, DW Mackowski - Journal of Quantitative Spectroscopy …, 2019 - Elsevier
To observe and study the effects of the volume packing density on polarimetric scattering by
deposited particulate materials, a comparison is made between the vector radiative transport …

Measurements and modeling of infrared reflectance signatures of microparticle traces on surfaces

R Furstenberg, A Shabaev, CA Kendziora… - Optical …, 2020 - spiedigitallibrary.org
Standoff detection of hazardous materials using infrared backscattering spectroscopy shows
promise due to its speed of detection, sensitivity, chemical specificity, eye safety, and the …

Using synthetic infrared spectra derived from n/k optical constants for standoff detection of chemical deposits

CE Lonergan, JD Erickson… - Chemical …, 2023 - spiedigitallibrary.org
We report results from a recent field experiment to test the validity of using physics-based
synthetic infrared spectra to serve as endmembers in a spectral database targeted at …

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

TJ Kulp, RL Sommers, KL Krafcik… - Algorithms and …, 2016 - spiedigitallibrary.org
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 …