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Proceedings Paper

Independent component analysis applications on THz sensing and imaging
Author(s): Soner Balci; Alexander Maleski; Matheus Mello Nascimento; Elizabath Philip; Ju-Hyung Kim; Patrick Kung; Seongsin M. Kim
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Paper Abstract

We report Independent Component Analysis (ICA) technique applied to THz spectroscopy and imaging to achieve a blind source separation. A reference water vapor absorption spectrum was extracted via ICA, then ICA was utilized on a THz spectroscopic image in order to clean the absorption of water molecules from each pixel. For this purpose, silica gel was chosen as the material of interest for its strong water absorption. The resulting image clearly showed that ICA effectively removed the water content in the detected signal allowing us to image the silica gel beads distinctively even though it was totally embedded in water before ICA was applied.

Paper Details

Date Published: 26 May 2016
PDF: 7 pages
Proc. SPIE 9854, Image Sensing Technologies: Materials, Devices, Systems, and Applications III, 98540K (26 May 2016); doi: 10.1117/12.2228925
Show Author Affiliations
Soner Balci, Univ. of Alabama (United States)
Alexander Maleski, Univ. of Alabama (United States)
Matheus Mello Nascimento, Univ. of Alabama (United States)
Univ. de Brasília (Brazil)
Elizabath Philip, Univ. of Alabama (United States)
Ju-Hyung Kim, Univ. of Alabama (United States)
Patrick Kung, Univ. of Alabama (United States)
Seongsin M. Kim, Univ. of Alabama (United States)

Published in SPIE Proceedings Vol. 9854:
Image Sensing Technologies: Materials, Devices, Systems, and Applications III
Nibir K. Dhar; Achyut K. Dutta, Editor(s)

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