Volume 40 Issue 3
May  2019
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GAO Sunpei, XU Jian, ZOU Bo. Optical detection algorithm for seafloor roughness and its experimental study[J]. Journal of Applied Optics, 2019, 40(3): 435-439. doi: 10.5768/JAO201940.0302005
Citation: GAO Sunpei, XU Jian, ZOU Bo. Optical detection algorithm for seafloor roughness and its experimental study[J]. Journal of Applied Optics, 2019, 40(3): 435-439. doi: 10.5768/JAO201940.0302005

Optical detection algorithm for seafloor roughness and its experimental study

doi: 10.5768/JAO201940.0302005
  • Received Date: 2018-09-26
  • Rev Recd Date: 2019-01-19
  • Publish Date: 2019-05-01
  • As an important physical property of seafloor sediments, the seafloor micro-topography roughness is of great significance to marine engineering and scientific investigation. How to measure seafloor micro-topography roughness by optical method has been a hot topic in this field in recent years. Based on the shape from shading (SFS) algorithm in optics, a fast seafloor micro-topography roughness algorithm was put forward. While constructing the model, the absorption and attenuation model of underwater light propagation was considered, and the seafloor micro-topography roughness was measured and the parameters were fitted according to the power law form. Simulation results prove that the algorithm has 95% confidence, it is suitable for seafloor micro-topography roughness measurement, and its validity and correctness are proved by experiments.

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