<p>LiDAR has unique advantages for ocean detection. However, its detection range and accuracy are often degraded by variable interference from sunlight and multiply scattered light, which remains a persistent challenge for the quantitative evaluation of ocean-color parameters. This study introduces an anti-interference circularly polarized LiDAR (ACPL) to effectively suppress sunlight and multiply scattered light. Field experiments in the South China Sea show that using a green laser, the underwater profiling range of ACPL exceeds 75 m during the day and 100 m at night. Besides, ACPL enables more accurate retrievals of ocean-color parameter. These results show the effectiveness of circularly polarized light in suppressing the interference and enhancing the detection performance of ocean LiDAR, underscoring its potential for diurnal ocean remote sensing.</p>

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Anti-interference circularly polarized LiDAR for ocean detection

  • Jiajin Li,
  • Dong Bao,
  • Mingyu Shi,
  • Kai Zeng,
  • Jiaojian Song,
  • Yufeng Ma,
  • Min Zhang,
  • Miao Zhong,
  • Zhiyuan Fang,
  • Kaikai Wang,
  • Yuliang Li,
  • Xin Wang,
  • Wan Chen,
  • Dexin Hu,
  • Junwu Tang,
  • Wenbo Sun

摘要

LiDAR has unique advantages for ocean detection. However, its detection range and accuracy are often degraded by variable interference from sunlight and multiply scattered light, which remains a persistent challenge for the quantitative evaluation of ocean-color parameters. This study introduces an anti-interference circularly polarized LiDAR (ACPL) to effectively suppress sunlight and multiply scattered light. Field experiments in the South China Sea show that using a green laser, the underwater profiling range of ACPL exceeds 75 m during the day and 100 m at night. Besides, ACPL enables more accurate retrievals of ocean-color parameter. These results show the effectiveness of circularly polarized light in suppressing the interference and enhancing the detection performance of ocean LiDAR, underscoring its potential for diurnal ocean remote sensing.