Abstract
We demonstrate LiDAR-based remote spectrometry of natural targets augmented with delay spectra using an ultra-broadband frequency comb. Material-dependent spectrallyresolved delays with an equivalent sensitivity better than 100 μm complement reflectance signatures for enhanced target classification.
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CITATION STYLE
APA
Han, Y., Salido-Monzú, D., & Wieser, A. (2022). Delay-Augmented Spectrometry for Target Classification Using a Frequency-Comb LiDAR. In 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1364/cleo_si.2022.sf2f.5
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