Research on Underwater Long-Range Target Intelligent Identification System Based on Laser Range-gated Imaging Technology
Author:
Affiliation:

Funding:

This work is supported by National Key Research and Development Program of China (2019YFB1312404), International Science and Technology Cooperation fund of Science and Technology Planning Project of Guangdong Province of China (2018A050506065), Chinese Academy of Sciences Youth Innovation Promotion Association, and Construction of Underwater Mobile Observation and Testing Platform, a Special Fund Project of the Central Government to Guide Local Science and Technology Development

Ethical statement:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
    Abstract:

    Underwater optical imaging has the problem of “not seeing far” and “not seeing clearly” due to the absorption and scattering of the water body. Underwater laser range-gated imaging technology can improve the underwater optical imaging distance and image contrast. The paper presents the research of underwater long-range target intelligent identification system based on underwater laser range-gated imaging technology. Laboratory test results show imaging distances in excess of 7 times the attenuation length. The study combines deep learning algorithms to achieve quasi-real-time detection of targets in power-constrained hardware conditions. The combination of underwater laser range-gated imaging technology and deep learning algorithms is expected to enable underwater optical imaging to “seeing far” and “seeing clearly”, while “seeing fast” and “seeing accurately”.

    Reference
    Related
    Cited by
Get Citation

ZHAO Zhijun, TAN Yuguang, LIU Peng, et al. Research on Underwater Long-Range Target Intelligent Identification System Based on Laser Range-gated Imaging Technology[J]. Journal of Integration Technology,2023,12(2):39-52

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: March 23,2023
  • Published:
Baidu
map