基于三次样条函数的侧扫声纳定位数据平滑方法研究

Research on the Smoothing Method of Side Scan Sonar Positioning Data Based on Triple Spline Function

针对侧扫声纳定位采样率与回波采样率不同步的问题,提出基于三次样条函数的定位数据平滑方法,将定位数据与回波数据一一对应,避免声纳图像产生空白区或像素重叠。实验数据结果表明:该方法可对定位数据进行较好的平滑,有效消除拖鱼因航向改变或航迹不稳而产生的航迹线折点,从而消除了声纳图像中的条形、扇形裂缝,解决了由采样率不同引起的声纳图像不连续现象,为后续地理编码图的处理提供了前提。

Aimed at solving the problem of inconformity of positioning and echo sampling rates, this paper puts forward the smoothing method of side scan sonar positioning data based on the Triple Spline Function. Through the one-to-one correspondence between the positioning data and echo data, blank area and pixel overlap of sonar images are eliminated. The results indicate the feasibility of this method, which can effectively eliminate the line inflection and thus bars or sector gaps, so as to solve the problem of image discontinuities caused by different sampling rates. It offers a premise for processing subsequent geocoding.