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Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising
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 dat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928604/ https://www.ncbi.nlm.nih.gov/pubmed/31779277 http://dx.doi.org/10.3390/s19235188 |
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author | Shevkunov, Igor Katkovnik, Vladimir Claus, Daniel Pedrini, Giancarlo Petrov, Nikolay V. Egiazarian, Karen |
author_facet | Shevkunov, Igor Katkovnik, Vladimir Claus, Daniel Pedrini, Giancarlo Petrov, Nikolay V. Egiazarian, Karen |
author_sort | Shevkunov, Igor |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6928604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69286042019-12-26 Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising Shevkunov, Igor Katkovnik, Vladimir Claus, Daniel Pedrini, Giancarlo Petrov, Nikolay V. Egiazarian, Karen Sensors (Basel) Article 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. MDPI 2019-11-26 /pmc/articles/PMC6928604/ /pubmed/31779277 http://dx.doi.org/10.3390/s19235188 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shevkunov, Igor Katkovnik, Vladimir Claus, Daniel Pedrini, Giancarlo Petrov, Nikolay V. Egiazarian, Karen Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising |
title | Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising |
title_full | Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising |
title_fullStr | Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising |
title_full_unstemmed | Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising |
title_short | Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising |
title_sort | spectral object recognition in hyperspectral holography with complex-domain denoising |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928604/ https://www.ncbi.nlm.nih.gov/pubmed/31779277 http://dx.doi.org/10.3390/s19235188 |
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