Delay-Augmented Spectrometry for Target Classification Using a Frequency-Comb LiDAR

Yu Han; David Salido-Monzú; Andreas Wieser

doi:10.1364/CLEO_SI.2022.SF2F.5

Conference on Lasers and Electro-Optics
Technical Digest Series (Optica Publishing Group, 2022),
paper SF2F.5
•https://doi.org/10.1364/CLEO_SI.2022.SF2F.5

Delay-Augmented Spectrometry for Target Classification Using a Frequency-Comb LiDAR

Yu Han, David Salido-Monzú, and Andreas Wieser

CLEO: Science and Innovations 2022

San Jose, California United States
15–20 May 2022
ISBN: 978-1-957171-05-0

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Frequency Comb-Based Spectroscopy and Sensing (SF2F)

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Y. Han, D. Salido-Monzú, and A. Wieser, "Delay-Augmented Spectrometry for Target Classification Using a Frequency-Comb LiDAR," in Conference on Lasers and Electro-Optics, Technical Digest Series (Optica Publishing Group, 2022), paper SF2F.5.

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Abstract

We demonstrate LiDAR-based remote spectrometry of natural targets augmented with delay spectra using an ultra-broadband frequency comb. Material-dependent spectrally-resolved delays with an equivalent sensitivity better than 100 µm complement reflectance signatures for enhanced target classification.

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