Detecting LWIR Filters using Hyperspectral Camera and Neural Networks

被引：0

作者：

Cech, Jiri ^{[1
]}

Rozkovec, Martin ^{[1
]}

机构：

[1] Tech Univ Liberec, FMMIS, Inst Informat Technol & Elect, Liberec, Czech Republic

来源：

2017 INTERNATIONAL CONFERENCE ON APPLIED ELECTRONICS (AE) | 2017年

关键词：

Hyperspectral imaging; LWIR; Neural networks; PCA;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：35 / 38

页数：4

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