• Journal of Applied Optics
  • Vol. 40, Issue 3, 435 (2019)
GAO Sunpei*, XU Jian, and ZOU Bo
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.5768/jao201940.0302005 Cite this Article
    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 Copy Citation Text show less

    Abstract

    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.
    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
    Download Citation