一种基于图像匹配的吊放式声呐方位修正方法
A method that utilizes image matching instruments to correct the azimuth of dipping sonar

探讨了一种基于图像匹配的吊放式声呐方位修正方法。采用二值分割的图像特征匹配方法,并通过图像分割,保证了较高的精度和时效性。此方法可以很好地适用于背景较为稳定的环境;通过设计合适的时变模板,可有效克服背景起伏较大引起的图像失配问题。经仿真数据和实际数据的验证,对于背景缓慢变化的图像,方位修正的准确率达到100%,对于背景剧烈变化的图像,方位修正的准确率优于80%。
This paper discusses a method that utilizes image matching instruments to correct the azimuth of dipping sonar. Simulation data and experimental data satisfactorily verify that this method can well be applied in the relatively stable environment background; and that through designing the appropriate time-varying modal, this method can effectively overcome the image mismatch caused by the big change in environment background.