| 侧扫声呐图像海底线自动提取方法研究 |
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| 引用本文： | 赵建虎,王晓,张红梅.侧扫声呐图像海底线自动提取方法研究[J].武汉大学学报(信息科学版),2017,42(12):1797-1803. |
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| 作者姓名： | 赵建虎 王晓 张红梅 |
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| 作者单位： | 1.武汉大学测绘学院, 湖北 武汉, 430079 |
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| 基金项目： | 国家自然科学基金41576107国家自然科学基金41376109国家自然科学基金41176068海岛(礁)测绘技术国家测绘地理信息局重点实验室资助项目2015B08 |
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| 摘 要： | 针对现有方法在侧扫声呐水柱区图像受发射脉冲、海面回波、尾流及大面积悬浮物等干扰情况下海底线无法自动准确检测和提取，造成斜距改正后目标图像严重畸变和错位等问题，基于侧扫声呐成像机理以及图像特点，提出了海底线最后峰值检测法和基于海底变化渐进性和海底线对称性的海底线修复方法。结合Kalman滤波以及上述方法的特点和适用对象，提出了一种海底线自适应综合检测和提取的方法，并给出了完整的数据处理流程。该方法应用于烟台水域，消除了海况差、悬浮物遮挡等问题的影响，实现了复杂海洋噪声影响下海底线的自动跟踪。与外部测深数据比较，取得了均方根为±0.17 m的跟踪精度。
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| 关 键 词： | 侧扫声呐图像 复杂海洋噪声 海底线检测 综合检测和提取 |
| 收稿时间： | 2016-03-24 |
An Automatic Bottom Extracting Method for Side-Scan Sonar Image |
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| Affiliation: | 1.School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China2.School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China |
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| Abstract: | The traditional side scan sonar (SSS) bottom tracking method is difficult to achieve ideal performance because the data is always influenced by complicated noise such as suspended solids, transmitted pulse, echoes from sea surface and ship wake flow. This will bring serious distortion and dislocation in the target image after SSS image processed by slant range correction. Based on the imaging mechanism and characteristic of side-scan sonar, this paper proposes the method of the last peak amplitude, the repair method of bottom extracting based on the trend of seafloor variation and the symmetry principle. Combining the Kalman filter and the characteristic and applicable object of the above methods, then gives an adaptive comprehensive bottom tracking and extracting method and the complete data processing flow. The proposed method achieved the function of tracking bottom automatically of SSS images obtained in an area of Yantai, where those SSS images were influenced by complicated marine noise and suspended solids. Compared with the external sounding data, the root mean deviation is ±0.17 m which shows the proposed method has high accuracy. |
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