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Spectral Object Recognition in Hyperspectral Holography with Complex-Domain Denoising.
Shevkunov, Igor; Katkovnik, Vladimir; Claus, Daniel; Pedrini, Giancarlo; Petrov, Nikolay V; Egiazarian, Karen.
Afiliación
  • Shevkunov I; Faculty of Information Technology and Communication Sciences, Tampere University, FI-33101 Tampere, Finland.
  • Katkovnik V; Department of Photonics and Optical Information Technology, ITMO University, 197101 St. Petersburg, Russia.
  • Claus D; Faculty of Information Technology and Communication Sciences, Tampere University, FI-33101 Tampere, Finland.
  • Pedrini G; Institut für Lasertechnologien in der Medizin und Messtechnik, Helmholtzstraße 12, 89081 Ulm, Germany.
  • Petrov NV; Institut für Technische Optik (ITO), Universität Stuttgart, Pfaffenwaldring 9, 70569 Stuttgart, Germany.
  • Egiazarian K; Department of Photonics and Optical Information Technology, ITMO University, 197101 St. Petersburg, Russia.
Sensors (Basel) ; 19(23)2019 Nov 26.
Article en En | MEDLINE | ID: mdl-31779277
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Finlandia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Finlandia