The National Academies Logo
Research Associateship Programs
Fellowships Office
Policy and Global Affairs

Participating Agencies - ARL/USMA

  Sign InPrintable View

Opportunity at Davies Teaching Fellowships (ARL/USMA)

Infrared Polarimetric/Multispectral Imaging


MD and NM-Computational and Information Sciences-FFP, Computational and Information Sciences Directorate - FFP

RO# Location
AA.36.02.B4240 Adelphi, MD 207831197


Name E-mail Phone
Gurton, Kristan P. 301.394.2093


Currently, the majority of imaging techniques relies solely on determining a two-dimensional “intensity” distribution that represents the scene of interest. Electromagnetic radiation that is reflected/emitted from objects also possesses two other unique characteristics that are often overlooked in conventional imaging (i.e., polarization state and frequency). Our experimental program investigates the potential benefit(s) that might be realized by taking into account the polarization-state and/or spectral content of the image forming light. By utilizing this additional information, we hope to develop new imaging techniques (particularly in the infrared) designed to enhance certain discriminatory features within a scene that is often not visible when using conventional methods.

For example, the amount of information conveyed by an image that has been propagated through dense fog or aerosols is greatly reduced by multiple photon scattering. This may result in a reduction in contrast and spatial resolution, and often limits the ability of certain image recognition/identification schemes to operate effectively. We are investigating the potential for improved contrast from imaging scenes imbedded within dense fogs and haze by use of a polarization based filtering technique. Similarly, it is well known that man-made objects tend to reflect/emit light that has a greater component of polarization than light originating from natural terrain (i.e., trees, grass, or soil). If we can control the polarization-state of the light that enters the imager, a series of “difference” images can be created that greatly enhance the ability to distinguish man-made objects from background clutter. Although some of these methods have been investigated to varying degrees in the visible, research designed to establish the phenomenology for the infrared is badly needed.


Polarimetric; Infrared; Multispectral; Imaging; Emission polarization;


Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral applicants
Copyright © 2014. National Academy of Sciences. All rights reserved. 500 Fifth St. N.W., Washington, D.C. 20001.
Terms of Use and Privacy Statement.