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Search Publications by: David W. Allen (Fed)

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Displaying 26 - 50 of 168

Towards Establishing Compact Imaging Spectrometer Standards

March 31, 2016
Author(s)
David W. Allen, Elmer T. Slonecker, Ronald G. Resmini
Remote sensing science is currently undergoing a tremendous expansion in the area of hyperspectral imaging (HSI) technology. Spurred largely by the explosive growth of Unmanned Aerial Vehicles (UAV), sometimes called Unmanned Aircraft Systems (UAS), or

National Institute of Standards and Technology measurement service of the optical properties of biomedical phantoms: Current status

March 24, 2016
Author(s)
Paul Lemaillet, Catherine C. Cooksey, Zachary H. Levine, Adam L. Pintar, Jeeseong Hwang, David W. Allen
The National Institute for Standards and Technology (NIST) has maintained scales of reflectance and transmittance over several decades. Those scales are primarily intended for the regular transmittance, mirrors, and solid surface scattering diffusers. The

An Overview of Spectral Imaging of Human Skin toward Face Recognition

February 13, 2016
Author(s)
David W. Allen
Spectral imaging is a form of remote sensing that provides a means of collecting information from surroundings without physical contact. Differences in spectral reflectance over the electromagnetic spectrum allow for the detection, classification, or

Double-integrating-sphere system at the National Institute of Standards and Technology in support of measurement standards for the determination of optical properties of tissue-mimicking phantoms

October 27, 2015
Author(s)
Paul Lemaillet, Jeeseong C. Hwang, David W. Allen
There is a need for a common reference point that will allow for the comparison of the optical properties of tissue mimicking phantoms. This paper provides a brief review of the methods that have been used to measure tissue mimicking phantoms. The review

Digital Phantoms Generated by Spectral and Spatial Light Modulators

October 21, 2015
Author(s)
Bonghwan Chon, Fuyuki Tokumasu, Ji Y. Lee, David W. Allen, Joseph P. Rice, Jeeseong Hwang
A hyperspectral image projector (HIP) based on liquid crystal on silicon (LCoS) spatial light modulators (SLMs) is explained and demonstrated to generate 3D spectral data cubes. The HIP- constructed data cubes are 3D images of the spatial distribution of

Development of traceable measurement of the diffuse optical properties of solid reference standards for biomedical optics at the National Institute of Standards and Technology

July 1, 2015
Author(s)
David W. Allen, Paul Lemaillet, Jean-Pierre Bouchard
The development of a national reference instrument dedicated to the measurement of the scattering and absorption properties of solid tissue-mimicking phantoms used as reference standards is presented. The optical properties of the phantoms are measured

Spectral reflectance variability of skin and attributing factors

May 21, 2015
Author(s)
Catherine C. Cooksey, Benjamin K. Tsai, David W. Allen
Knowledge of the spectral reflectance signature of human skin over a wide spectral range will help advance the development of sensing systems for many applications, ranging from medical treatment to security technology. A critical component of the

Bidirectional reflectance scale comparison between NIST and PTB

May 1, 2015
Author(s)
Catherine C. Cooksey, Maria E. Nadal, David W. Allen, Kai-Olaf Hauer, Andreas Hoepe
A comparison of bidirectional reflectance scales between the National Institute of Standards and Technology (NIST) and the Physikalisch-Technische Bundesanstalt (PTB) has been performed. Measurements of two sets of white diffuse reflectance standards, two

Making digital phantoms with spectral and spatial light modulators for quantitative applications of hyperspectral optical medical imaging devices

March 6, 2015
Author(s)
Bonghwan Chon, fuyuki Tokumasu, Ji Youn Lee, David W. Allen, Joseph P. Rice, Jeeseong C. Hwang
We present a procedure to generate digital phantoms with a hyperspectral image projector (HIP) consisting of two liquid crystal on silicon (LCoS) spatial light modulators (SLMs). The digital phantoms are 3D image data cubes of the spatial distribution of