Open Access
14 July 2015 Multispectral index for the remote detection of human skin signatures
Gladimir V. G. Baranoski, Tenn F. Chen
Author Affiliations +
Abstract
We propose a multispectral index to assist the detection of human signatures in complex natural environments. Differently from previously proposed indices, it takes into account the spectral responses of human skin not only in the near infrared, but also in the visible region of the light spectrum. As a result, it can contribute to mitigate the chances of false alarms during time-critical search and rescue operations carried out in such environments. Our investigation is supported by the use of reflectance data measured for different skin specimens and natural materials such as sand, ocean water, melting snow, and forest vegetation. We believe that the observations reported in this work can be incorporated into the design of more effective procedures and devices for the differentiation of human targets from background materials commonly found in nature.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Gladimir V. G. Baranoski and Tenn F. Chen "Multispectral index for the remote detection of human skin signatures," Optical Engineering 54(7), 070502 (14 July 2015). https://doi.org/10.1117/1.OE.54.7.070502
Published: 14 July 2015
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Skin

Reflectivity

Near infrared

Target detection

Vegetation

Visible radiation

Environmental sensing

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