Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

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

Not Accessible

Your library or personal account may give you access

Abstract

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.

© 2020 The Author(s)

PDF Article
More Like This
Dual-Frequency Comb Hyperspectral Imaging by Massively Parallelized Infrared Detection and Machine Learning

Thibault Voumard, Thibault Wildi, Victor Brasch, Raul Gutierrez Alvarez, Germán Vergara Ogando, and Tobias Herr
EM1C.1 Optics and Photonics for Sensing the Environment (ES) 2020

Hyperspectral Imaging using a THz dual-comb source

Pedro Martín-Mateos, Cristina de Dios, Dovile Cibiraitè-Lukenskienè, Andrés Betancur, Roberto Barreiro-Marcos, Kęstutis Ikamas, Alvydas Lisauskas, V. Krozer, and Pablo Acedo
SM4E.2 Optical Sensors (Sensors) 2020

Towards Real-Time Hyperspectral Imaging in the Terahertz Range with THz Dual-Comb Sources

Farid Ullah Khan, Borja Jerez, Cristina de Dios, Ángel Rubén Criado, Pablo Acedo, and Pedro Martín-Mateos
STh2E.1 CLEO: Science and Innovations (CLEO:S&I) 2021

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.