• Technical Conference: 

    15 – 20 May 2022

  • Exhibition: 

    17 – 19 May 2022

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SM1D

Virtual: Active Optical Sensing

Presider: Erik Emmons, US Army CCDC CBC

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Presentations

5:00 - 5:15

Polarimetric Imaging Using One Fractal SNSPD (SM1D.1)
Presenter: Nan Hu, Tianjin University

We demonstrate a polarimetric imaging system with one fractal superconducting nanowire single-photon detector and time-multiplexed photon-counting scheme, which allows us to obtain images with multiple types of contrast.

Authors:Nan Hu, Tianjin University / Yun Meng, Tianjin University / Kai Zou, Tianjin University / Yifan Feng, Tianjin University / ZIfan Hao, Tianjin University / Stephan Steinhauer, Royal Institute of Technology (KTH) / Samuel Gyger, Royal Institute of Technology (KTH) / Val Zwiller, Royal Institute of Technology (KTH) / Xiaolong Hu, Tianjin University

  Paper

5:15 - 5:30

Ultra-High Frequency Vibration Measurement Using Fading Suppressed Coherent φ-OTDR With Randomized Sampling (SM1D.2)
Presenter: zhonghong lin, HUST

By applying randomized sampling to interference fading suppressed coherent phase-sensitive optic time domain reflectometry (φ-OTDR) system, quantitative vibration signal measurement with much higher frequency than the Nyquist sampling theorem determined upper limit was demonstrated.

Authors:zhonghong lin, HUST / Zhiyong Zhao, HUST / Deming Liu, HUST / Ming Tang, HUST

  Paper

5:30 - 5:45

Near-Ultraviolet Dual-Comb Spectroscopy With Photon-Counting (SM1D.4)
Presenter: Bingxin Xu, Max-Planck Institute of Quantum Optics

A dual-comb interferometer using electro-optic modulators and nonlinear frequency conversion enables linear absorption spectroscopy in the 390-nm region at the single-photon level. Photon-counting instrumentation alleviates the use of high-power lasers.

Authors:Bingxin Xu, Max-Planck Institute of Quantum Optics / Theodor Haensch, Max-Planck Institute of Quantum Optics / Nathalie Picqué, Max-Planck Institute of Quantum Optics

  Paper

5:45 - 6:00

DCT-Cam for Single-Shot Action Recognition (SM1D.3)
Presenter: Liang Yu, Department of electronic engineering

We propose a DCT-Cam to capture the video spectrum directly from the scene in a single shot, which can reduce 75% data requirement and achieve the same accuracy for the action recognition.

Authors:Liang Yu, Department of electronic engineering / Honghao Huang, Department of electronic engineering / Jingwei Li, Huawei Technologies Co., Ltd / Xiaowen Dong, Huawei Technologies Co., Ltd / Minghua Chen, Department of electronic engineering / Sigang Yang, Department of electronic engineering / Hongwei Chen, Department of electronic engineering

  Paper