基于数据融合的侧扫声纳图像预处理

Sidescan Sonar Image Preprocessing Techniques Based on Data Fusion

  • 摘要: 论述了基于数据融合的侧扫声纳图像处理的特殊过程。根据现代侧扫声纳系统的特点,提出了利用声线跟踪法进行斜距改正,同时对目标阴影区进行了处理;对文献1的灰度不均衡的改正算法进行了改进。利用小波变换检测出灰度突变区,根据剔除突变区后计算的灰度改正系数进行航向上的灰度改正,并用模拟数据和实际数据进行了验证;鉴于波束展宽效应对远场目标造成的拖尾效应,论述了对拖尾效应使用的去卷积的改正算法。

     

    Abstract: This paper introduces the processing techniques of Sidescan Sonar. These techniques are not used in general image Processing. Generally, sidescan images have geometric distortions and intensity distortions. The former are discrepancies between the relative location of features and their true location, and the latter are deviations from the ideal linear relation between image intensity and backscattering strength. If the raw data include the navigation information, the geometric distortions can be corrected from it, otherwise, the attitude of vehicle can be inferred from the sonar image.

     

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