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

作　　者：高荪培 徐剑 邹博 GAO Sunpei;XU Jian;ZOU Bo(School of Marine Science and Technology, Tianjin University,Tianjin 300072, China)

机构地区：[1]天津大学海洋科学与技术学院,天津300072

出　　处：《应用光学》2019年第3期435-439,共5页Journal of Applied Optics

基　　金：国家自然科学基金(41706106);海洋环境信息保障技术重点实验室开放课题基金(080-0401120006)

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。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.

关 键 词：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 

分 类 号：TN912.[电子电信—通信与信息系统]