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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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