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5D hyperspectral imaging: fast and accurate measurement of surface shape and spectral characteristics using structured light
Author(s) -
Stefan Heist,
Chen Zhang,
Karl Reichwald,
Peter Kühmstedt,
Gunther Notni,
Andreas Tünnermann
Publication year - 2018
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.26.023366
Subject(s) - hyperspectral imaging , full spectral imaging , optics , spectral imaging , remote sensing , image resolution , spectral resolution , imaging spectroscopy , sorting , wavelength , resolution (logic) , spectral bands , near infrared spectroscopy , computer science , physics , artificial intelligence , geology , spectral line , astronomy , programming language
Measuring the shape (coordinates x, y, z ) and spectral characteristics (wavelength-dependent reflectance R (λi)) of macroscopic objects as a function of time (t) is of great interest in areas such as medical imaging, precision agriculture, or optical sorting. Here, we present an approach that allows to determine all these quantities with high resolution and accuracy, enabling measurement in five dimensions. We call this approach 5D hyperspectral imaging. We describe the design and implementation of a 5D sensor operating in the visible to near-infrared spectral range, which provides excellent spatial and spectral resolution, great depth accuracy, and high frame rates. The results of various experiments strongly indicate the great benefit of the new technology.

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