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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.<\/jats:p>","DOI":"10.3390\/s19235188","type":"journal-article","created":{"date-parts":[[2019,11,27]],"date-time":"2019-11-27T03:55:51Z","timestamp":1574826951000},"page":"5188","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1507-3280","authenticated-orcid":false,"given":"Igor","family":"Shevkunov","sequence":"first","affiliation":[{"name":"Faculty of Information Technology and Communication Sciences, Tampere University, FI-33101 Tampere, Finland"},{"name":"Department of Photonics and Optical Information Technology, ITMO University, 197101 St. Petersburg, Russia"}]},{"given":"Vladimir","family":"Katkovnik","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology and Communication Sciences, Tampere University, FI-33101 Tampere, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0602-9715","authenticated-orcid":false,"given":"Daniel","family":"Claus","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Lasertechnologien in der Medizin und Messtechnik, Helmholtzstra\u00dfe 12, 89081 Ulm, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3300-8362","authenticated-orcid":false,"given":"Giancarlo","family":"Pedrini","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Technische Optik (ITO), Universit\u00e4t Stuttgart, Pfaffenwaldring 9, 70569 Stuttgart, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8866-7592","authenticated-orcid":false,"given":"Nikolay V.","family":"Petrov","sequence":"additional","affiliation":[{"name":"Department of Photonics and Optical Information Technology, ITMO University, 197101 St. Petersburg, Russia"}]},{"given":"Karen","family":"Egiazarian","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology and Communication Sciences, Tampere University, FI-33101 Tampere, Finland"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2143","DOI":"10.1007\/s10531-019-01698-8","article-title":"Spatial distribution of mangrove forest species and biomass assessment using field inventory and earth observation hyperspectral data","volume":"28","author":"Pandey","year":"2019","journal-title":"Biodivers. 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