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Detecting LWIR filters using hyperspectral camera and neural networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F17%3A00004865" target="_blank" >RIV/46747885:24220/17:00004865 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.appel.zcu.cz" target="_blank" >http://www.appel.zcu.cz</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/AE.2017.8053578" target="_blank" >10.23919/AE.2017.8053578</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detecting LWIR filters using hyperspectral camera and neural networks

  • Original language description

    We 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    International Conference on Applied Electronics, AE 2017

  • ISBN

    9788026106418

  • ISSN

    1803-7232

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    35-38

  • Publisher name

    University of West Bohemia

  • Place of publication

    Pilsen, Czech Republic

  • Event location

    Pilsen, Czech Republic

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000427091900006