三维成像声呐图像重建研究

针对成像声呐领域中水下目标探测、识别等问题,基于三维探测声呐2304通道波束形成数据,研究三维成像声呐可视化方法,仿真了三维点云重构算法,并根据实际应用需求,在设备实现中改进了算法,使其在实际环境中可动态调节阈值,优化成像效果。水池、湖试实验表明:以该可视化方法为基础的三维探测声呐可正确显示目标位置、形态;且在混响环境中对复杂探测目标有良好的重构效果;同时通过与二维声呐图像对比,进一步验证了该三维声呐在轮廓识别方面的优越性。

Image reconstruction for 3D acoustical imaging sonar

Aiming at the requirement of underwater target detection and recognition, basing on the data of 3D sonar from 2304 array elements, this article studies the 3D imaging sonar visualization methods, simulates and improves the 3D point cloud reconstruction algorithm, and then the method is applied to the actual equipment to verify its performance. The experimental results show that the 3D acoustical imaging sonar based on this visualization is effective and has good visual effect. Moreover, by contrasting with the results of 2D sonar, the superiority of 3D sonar is verified.