Harmonic-Assisted Super-Resolution Rotational Measurement

被引:0
|
作者
Guo, Zhenyu [1 ]
Wang, Jiawei [1 ]
Zhao, Weihua [1 ]
Gao, Hong [1 ]
Chang, Zehong [1 ]
Wang, Yunlong [1 ]
Zhang, Pei [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Phys,Minist Educ, Shaanxi Prov Key Lab Quantum Informat & Quantum O, Key Lab Nonequilibrium Synth & Modulat Condensed, Xian 710049, Peoples R China
基金
中国国家自然科学基金;
关键词
harmonic generation process; orbital angular momentum; rotational doppler effect; super-resolution; GENERATION; QUANTUM; ENTANGLEMENT; LIGHT;
D O I
10.1002/lpor.202401050
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Enhancing rotational measurement resolution and broadening the detectable spectral range are two critical and unresolved matters within the realm of motion perception. The rotational Doppler effect (RDE) is combined with the harmonic generation process to create a rotational measurement scheme that offers flexible detection wavelength conversion, exponential improvement of measurement resolution, and real-time display of detection results. In the experiments, a cascaded second harmonic generation process is employed to attain a fourfold enhancement in rotational resolution and demonstrate how low-cost silicon-based detectors can be used for real-time detection of infrared objects. This scheme employs a Gaussian beam within the nonlinear process to achieve high conversion efficiency, thereby enabling potential for subsequent cascade amplification. Additionally, it is fully compatible with existing RDE schemes, allowing for co-amplification of rotational resolution at both the front-end and back-end. This research could offer a more precise and cost-effective method for remote sensing detection.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Classifiers in Super-Resolution Problems
    Terentiev, E. N.
    Shilin-Terentiev, N. E.
    PHYSICAL AND MATHEMATICAL MODELING OF EARTH AND ENVIRONMENT PROCESSES (2018), 2019, : 441 - 455
  • [42] Super-resolution laser machining
    Huang, Jiaxu
    Xu, Kang
    Xu, Shaolin
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2025, 205
  • [43] Quantization for Spectral Super-Resolution
    C. Sinan Güntürk
    Weilin Li
    Constructive Approximation, 2022, 56 : 619 - 648
  • [44] Super-resolution in computational imaging
    Bertero, A
    Boccacci, P
    MICRON, 2003, 34 (6-7) : 265 - 273
  • [45] Super-resolution for a UGS system
    McCormack, MT
    Davis, CF
    Unattended Ground Sensor Technologies and Applications VII, 2005, 5796 : 193 - 202
  • [46] Super-resolution: a comprehensive survey
    Nasrollahi, Kamal
    Moeslund, Thomas B.
    MACHINE VISION AND APPLICATIONS, 2014, 25 (06) : 1423 - 1468
  • [47] Multiframe Super-Resolution With Dual Pyramid Multiattention Network for Droplet Measurement
    Liu, Qiangqiang
    Yang, Hua
    Chen, Jiankui
    Yin, Zhouping
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [48] Super-resolution FRET measurements
    Szalai, Alan M.
    Zaza, Cecilia
    Stefani, Fernando D.
    NANOSCALE, 2021, 13 (44) : 18421 - 18433
  • [49] Quantization for Spectral Super-Resolution
    Gunturk, C. Sinan
    Li, Weilin
    CONSTRUCTIVE APPROXIMATION, 2022, 56 (03) : 619 - 648
  • [50] Super-Resolution of Multispectral Images
    Vega, M.
    Mateos, J.
    Molina, R.
    Katsaggelos, A. K.
    COMPUTER JOURNAL, 2009, 52 (01) : 153 - 167