Artificial Intelligence for Real-Time Dual-Frequency Comb Hyperspectral Imaging

被引：0
|
作者：
Voumard, Thibault [1 ,2 ]
Wildi, Thibault [1 ]
Brasch, Victor [1 ]
Gutierrez Alvarez, Raul [3 ]
Vergara Ogando, German [3 ]
Herr, Tobias [1 ]
机构：
[1] Ctr Suisse Elect & Microtech CSEM, Time & Frequency, Jaquet Droz 1, CH-2000 Neuchatel, Switzerland
[2] Univ Neuchatel, Phys Inst, Time Frequency Lab, Ave Bellevaux 51, CH-2000 Neuchatel, Switzerland
[3] New Infrared Technol NIT, Calle Vidrieros 30, Madrid 28660, Spain
来源：
2020 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO) | 2020年
基金：
瑞士国家科学基金会;
关键词：
RECONSTRUCTION;
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：
A fully convolutional deep neural network is used for rapid analysis of dual-comb interferograms. The increase in analysis speed enables massively parallelized spec-troscopic detection and dual comb hyperspectral imaging in real-time. (c) 2020 The Author(s)
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页数：2
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