一种光学探测海底粗糙度的算法及其实验研究

高荪培; 徐剑; 邹博

doi:doi:10.5768/jao201940.0302005

应用光学, 2019, 40 (3): 435, 网络出版: 2019-06-10

一种光学探测海底粗糙度的算法及其实验研究

Optical detection algorithm for seafloor roughness and its experimental study

论文大纲

高荪培 ^*徐剑邹博

作者单位

天津大学海洋科学与技术学院，天津 300072

海洋技术海底声散射从明暗恢复形状海底微地形粗糙度测量 marine technology seafloor acoustic scattering shape from shading measurement of seafloor micro-topography roughness

摘要

海底微地形粗糙度作为海底沉积物重要的物理性质，对于海洋工程以及海洋科学考察都有着重要意义，如何利用光学理论进行海底微地形粗糙度测量，是近年来该领域研究关注的热点。基于光学中的从明暗恢复形状（shame from shading,SFS）算法，提出一种快速的海底微地形粗糙度测量算法，在模型构建同时，添加水下光传播时的吸收和衰减模型，测量出海底的微地形，并用幂律形式进行参数拟合，以表征粗糙度。仿真证明该算法具有95%的置信度，是一种适用于海底微地形粗糙度测量的光学算法，并经过实验验证，证明其有效性和正确性。

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.

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高荪培, 徐剑, 邹博. 一种光学探测海底粗糙度的算法及其实验研究[J]. 应用光学, 2019, 40(3): 435. 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.

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