| Title: | Detecting LWIR filters using hyperspectral camera and neural networks |
| Authors: | Čech, Jiří Rozkovec, Martin |
| Citation: | 2017 International Conference on Applied Electronics: Pilsen, 5th – 6th September 2017, Czech Republic, p.35-38. |
| Issue Date: | 2017 |
| Publisher: | Západočeská univerzita v Plzni |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://hdl.handle.net/11025/35404 |
| ISBN: | 978–80–261–0641–8 (Print) 978–80–261–0642–5 (Online) |
| ISSN: | 1803–7232 (Print) 1805–9597 (Online) |
| Keywords: | hyperspektrální zobrazení;LWIR;nervové sítě;PCA |
| Keywords in different language: | hyperspectral imaging;LWIR;neural networks;PCA |
| Abstract in different language: | 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. |
| Rights: | © Západočeská univerzita v Plzni |
| Appears in Collections: | Applied Electronics 2017 Applied Electronics 2017 |
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