Detecting LWIR filters using hyperspectral camera and neural networks

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dc.contributor.authorČech Jiřícs
dc.contributor.authorRozkovec Martincs
dc.date.accessioned2018-09-25T12:15:28Z
dc.date.available2018-09-25T12:15:28Z
dc.date.issued2017cs
dc.description.abstractWe 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.
dc.format.extent4cs
dc.identifier.doi10.23919/AE.2017.8053578
dc.identifier.isbn9788026106418cs
dc.identifier.issn1803-7232cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/31402
dc.identifier.urihttps://ieeexplore.ieee.org/document/8053578
dc.language.isoengcs
dc.publisherUniversity of West Bohemiacs
dc.publisher.cityPilsen, Czech Republiccs
dc.relation.ispartofseries0cs
dc.relation.urihttp://www.appel.zcu.czcs
dc.subjectHyperspectral imagingcs
dc.subjectLWIRcs
dc.subjectNeural networkscs
dc.subjectPCAcs
dc.titleDetecting LWIR filters using hyperspectral camera and neural networksen
local.citation.epage35-38cs
local.citation.spage35-38cs
local.identifier.publikace4865
local.identifier.wok427091900006en
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