侧扫声纳图像中央区的自动确定和重建

Automatic nadir zone determination and reconstruction of side scan sonar image

侧扫声纳是海洋测绘领域的常用设备,为解决侧扫声纳波束模式带来的声纳图像中央区域质量较差的问题,提出了侧扫声纳图像中央区的自动确定和重建方法。首先根据侧扫声纳测量原理,基于波束模式,自动确定侧扫声纳图像的中央区域;然后根据图像强度梯度和像素可靠信息,计算图像重建区域的优先级;最后根据优先级顺序,采用基于样例的方法对中央区进行重建,提高侧扫声纳图像质量。研究表明,重建后的侧扫声纳图像无论是在主观视觉还是客观评价指标方面,都取得了满意的结果。采用本文所提方法得到的重建图像,能够清晰地反映海底特征,具有很好的应用价值。

Side scan sonar(SSS)is the usually adopted instrument in ocean surveying and mapping.To solve the problem that the SSS beam pattern would lead to the lower nadir data quality of SsS image,this paper proposed an automatic nadir zone determination and reconstruction method.Firstly,the nadir zone of ssS image is automatically computed based on operating mechanism and beam pattern.Next,the priorities of nadir zone is computed according to the Sss image intensity gradients and surrounding reliability information.Finally,the exemplar-based method is adopted to reconstruct the Sss image nadir zone based on priorities,improving the SSS image quality.Studies proved that the reconstructed Sss image is satisfying in terms of both subjective vision and objective evaluation indicators.The reconstructed SsS image using the method proposed in this paper can reflect seafloor features clearly and is greatly valuable.