Application of Deep Learning Algorithm for Automatic Identification of Key Points for Laser Beam Pointing

Yulong Suo; Haifeng Zhang; Bao Zhang; Jiefeng Sun; Si Qin; Mingliang Long

doi:10.3788/LOP241257

Laser & Optoelectronics Progress, Volume. 62, Issue 5, 0512006(2025)

Application of Deep Learning Algorithm for Automatic Identification of Key Points for Laser Beam Pointing

Yulong Suo^1,2、*, Haifeng Zhang^1,3, Bao Zhang⁴, Jiefeng Sun^1,2, Si Qin¹, and Mingliang Long¹

Author Affiliations

¹Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China

²School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, China

³Key Laboratory of Space Object and Debris Observation, Chinese Academy of Sciences, Nanjing 210008, Jiangsu , China

⁴People's Liberation Army 61711, Kashi 844000, Xinjiang , China

show less

Abstract Get PDF(in Chinese)

Cited By

Article index updated: Sep. 12, 2025

The article is cited by 1 article(s) CLP online library. (Some content might be in Chinese.)

Tools

Get Citation

Copy Citation Text

Yulong Suo, Haifeng Zhang, Bao Zhang, Jiefeng Sun, Si Qin, Mingliang Long. Application of Deep Learning Algorithm for Automatic Identification of Key Points for Laser Beam Pointing[J]. Laser & Optoelectronics Progress, 2025, 62(5): 0512006

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Instrumentation, Measurement and Metrology

Received: May. 11, 2024

Accepted: Jul. 12, 2024

Published Online: Feb. 20, 2025

The Author Email:

DOI:10.3788/LOP241257

CSTR:32186.14.LOP241257

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology