Detecting LWIR filters using hyperspectral camera and neural networks

dc.contributor.authorČech, Jiří
dc.contributor.authorRozkovec, Martin
dc.contributor.editorPinker, Jiří
dc.date.accessioned2019-10-15T08:47:20Z
dc.date.available2019-10-15T08:47:20Z
dc.date.issued2017
dc.description.abstract-translatedWe present detection of various filters using neural networks usable for our Long wave infrared (LWIR) hyperspectral detection system (HDES). Some reduction techniques are shown, for our aim of the small neural network with small computing requirements. In addition, the filter measurement is usable for calibration and verification of the HDES properties.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citation2017 International Conference on Applied Electronics: Pilsen, 5th – 6th September 2017, Czech Republic, p.35-38.en
dc.identifier.isbn978–80–261–0641–8 (Print)
dc.identifier.isbn978–80–261–0642–5 (Online)
dc.identifier.issn1803–7232 (Print)
dc.identifier.issn1805–9597 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/35404
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.rights.accessopenAccessen
dc.subjecthyperspektrální zobrazenícs
dc.subjectLWIRcs
dc.subjectnervové sítěcs
dc.subjectPCAcs
dc.subject.translatedhyperspectral imagingen
dc.subject.translatedLWIRen
dc.subject.translatedneural networksen
dc.subject.translatedPCAen
dc.titleDetecting LWIR filters using hyperspectral camera and neural networksen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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