基于激光选通成像技术的水下远距离目标智能识别系统研究
作者:
作者单位:

作者简介:

通讯作者:

基金项目:

国家重点研发计划项目(2019YFB1312404);广东省科技厅国际科技合作领域基金项目(2018A050506065);中国科学院青年创新促进会;中央引导地方科技发展专项资金项目“水下移动观测测试平台建设”

伦理声明:



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

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

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    由于水体对电磁波的吸收与散射,水下光学成像存在“看不远”和“看不清”的问题,而水下激光距离选通成像技术可以提高水下光学成像距离和图像对比度。该文介绍了以水下激光距离选通成像技术为基础的水下远距离目标智能识别系统研究。实验结果显示,成像距离超过 7 倍衰减长度。该研究结合深度学习算法,在功率受限的硬件条件下,实现了目标的准实时检测,检测速度达 0.8 f/s。水下激光距离选通成像技术与深度学习算法的结合,有望实现水下光学成像“看得远”和“看得清”的同时,实现“看得快”和“看得准”。

    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”.

    参考文献
    相似文献
    引证文献
引用本文

引文格式
Zhijun Zhao,谈宇光,刘鹏,等.基于激光选通成像技术的水下远距离目标智能识别系统研究 [J].集成技术,2023,12(2):39-52

Citing format
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

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-03-23
  • 出版日期:
Baidu
map