水中气体目标的多波束声呐成像与检测算法

Multi-beam sonar imaging and detection algorithm of subaqueous bubbles

随着海底输气管道的使用日益增多,对输气管道泄漏的检测刻不容缓。文中提出一种基于多波束声呐的水中气体目标成像与检测算法。成像算法以MVDR(minimun variance distortionless response)波束形成算法为核心,归算水体位置信息和反向散射强度信息后实现对水体目标的声呐成像。对声呐图像采用基于数学形态学的边缘检测算法检测目标边缘,判断气体目标有无。通过水池试验结果证明,文中提出的算法流程能够有效地实现水中气体目标的成像与检测,具有较好的工程应用前景。

As the increase of the use of seabed gas pipeline,it is urgently necessary to detect the leakage of gas pipeline. In this paper,an imaging and detection algorithm of subaqueous bubbles based on multi-beam sonar is presented. The core of the imaging algorithm is MVDR（ minimun variance distortionless response） beamforming algorithm,the water body objective is imaged by sonar method after calculating position information and backscattering intensity information. For the sonar image,the edge detection algorithm based on mathematic morphology is used to detect the edge of target and judge if the bubble exists or not. The results of the pool experiment show that the algorithm of this paper is effective for the imaging and detection of subaqueous bubble,it has an excellent engineering application prospect.