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Keywords = digital hyperspectral holography

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10 pages, 2121 KiB  
Article
The Phase Modulating Micro-Mover Based on the MHD/MET System in the Reference Arm of the Scanning Interferometer
by Sergey Kalenkov, Pavel Skvortsov, Aleksandr Tarasenko, Dmitry Sharov and Alexander Shtanko
Micromachines 2022, 13(11), 1972; https://doi.org/10.3390/mi13111972 - 14 Nov 2022
Viewed by 1404
Abstract
The possibility of using a magnetohydrodynamic drive (MHD) and amolecular-electronic transfer (MET) sensor as a single device for moving and precise control of the displacement of a movable mirror, which is part of a scanning interferometer, is considered. A prototype of such a [...] Read more.
The possibility of using a magnetohydrodynamic drive (MHD) and amolecular-electronic transfer (MET) sensor as a single device for moving and precise control of the displacement of a movable mirror, which is part of a scanning interferometer, is considered. A prototype of such a device was developed and experimentally studied. A digital holographic image of the test object was obtained using an optical scheme containing a scanning interferometer with an MHD drive. The important advantages of the MHD drive in the problems of digital recording of hyperspectral holographic images have been discussed. Full article
(This article belongs to the Special Issue Progress in Electrochemical Sensors)
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10 pages, 1997 KiB  
Article
Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising
by Igor Shevkunov, Vladimir Katkovnik, Daniel Claus, Giancarlo Pedrini, Nikolay V. Petrov and Karen Egiazarian
Sensors 2019, 19(23), 5188; https://doi.org/10.3390/s19235188 - 26 Nov 2019
Cited by 23 | Viewed by 3144
Abstract
In this paper, we have applied a recently developed complex-domain hyperspectral denoiser for the object recognition task, which is performed by the correlation analysis of investigated objects’ spectra with the fingerprint spectra from the same object. Extensive experiments carried out on noisy data [...] Read more.
In this paper, we have applied a recently developed complex-domain hyperspectral denoiser for the object recognition task, which is performed by the correlation analysis of investigated objects’ spectra with the fingerprint spectra from the same object. Extensive experiments carried out on noisy data from digital hyperspectral holography demonstrate a significant enhancement of the recognition accuracy of signals masked by noise, when the advanced noise suppression is applied. Full article
(This article belongs to the Section Optical Sensors)
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