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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

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

  • 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”.

     

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