IDEAS home Printed from https://ideas.repec.org/a/taf/tewaxx/v31y2017i15p1508-1519.html
   My bibliography  Save this article

A parametric model of NIR and SWIR reflectance spectra for dyed fabrics

Author

Listed:
  • Scott Ramsey
  • Troy Mayo
  • Samuel G. Lambrakos

Abstract

This study describes a parametric model of diffuse reflectance for the purpose of simulating the spectral response of near-infrared (NIR, 0.7–0.9 μm) and shortwave infrared (SWIR, 0.9–1.7 μm) absorbing dyes for minimizing NIR-SWIR reflectance of dyed fabrics. This model is purely phenomenological, but is optimal with respect to numbers of parameters. This model establishes ground-work for development of a prediction tool, which when given the constituent materials available, will enable rapid optimization of NIR/SWIR band contrast matching of composite systems, (e.g. uniforms and ancillary gear) for a given specification of NIR-SWIR reflectance. This model adopts absorption coefficients for NIR/SWIR absorbing dyes whose absorption spectra span the NIR/SWIR spectral range. Military camouflage fabric consisting of 50/50 nylon/cotton blend in a ripstop weave printed with four-color digital pattern was used as the test substrate for NIR/SWIR dye application. The results of this study provide validation of the parametric model within reasonable error, for practical applications including simulating NIR/SWIR spectral responses corresponding to fixed dye and dye blend concentrations in prototype camouflage fabrics.

Suggested Citation

  • Scott Ramsey & Troy Mayo & Samuel G. Lambrakos, 2017. "A parametric model of NIR and SWIR reflectance spectra for dyed fabrics," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 31(15), pages 1508-1519, October.
  • Handle: RePEc:taf:tewaxx:v:31:y:2017:i:15:p:1508-1519
    DOI: 10.1080/09205071.2017.1352541
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09205071.2017.1352541
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09205071.2017.1352541?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tewaxx:v:31:y:2017:i:15:p:1508-1519. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tewa .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.