Optical detection algorithm for seafloor roughness and its experimental study
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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。
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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
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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图 7 海底沙坡及其对应的功率谱强度
Figure 7. Simulated seabed ripples and its power spectrum intensity
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