深度学习用于连续太赫兹同轴数字全息重建

Article Properties
Cite
Cheng Keyang 成珂阳, and Li Qi 李琦. “深度学习用于连续太赫兹同轴数字全息重建”. Chinese Journal of Lasers, vol. 50, no. 19, 2023, p. 1914001, https://doi.org/10.3788/cjl221172.
Cheng Keyang 成., & Li Qi 李. (2023). 深度学习用于连续太赫兹同轴数字全息重建. Chinese Journal of Lasers, 50(19), 1914001. https://doi.org/10.3788/cjl221172
Cheng Keyang 成珂阳, and Li Qi 李琦. “深度学习用于连续太赫兹同轴数字全息重建”. Chinese Journal of Lasers 50, no. 19 (2023): 1914001. https://doi.org/10.3788/cjl221172.
1.
Cheng Keyang 成, Li Qi 李. 深度学习用于连续太赫兹同轴数字全息重建. Chinese Journal of Lasers. 2023;50(19):1914001.
Refrences
Title Journal Journal Categories Citations Publication Date
基于深度学习的多尺度数字全息图重建 Laser & Optoelectronics Progress
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Physics: Optics. Light
2022
基于TPX透镜的连续太赫兹波像面数字全息成像研究 ACTA PHOTONICA SINICA
  • Science: Physics: Optics. Light
1 2022
基于线性调频机制的太赫兹无损检测成像技术 Acta Optica Sinica
  • Science: Physics: Optics. Light
2022
大鼠冲击性脑创伤的太赫兹波成像检测 Acta Optica Sinica
  • Science: Physics: Optics. Light
2022
深度学习在数字全息显微成像中的应用 Laser & Optoelectronics Progress
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Physics: Optics. Light
4 2021