基于侧扫声呐的水下小目标检测技术研究  

Research on Small Underwater Target Detection Technology Based on Side-scan Sonar

作　　者：葛锡云[1,2] 魏柠阳 周宏坤 李锦 高宇航 GE Xiyun;WEI Ningyang;ZHOU Hongkun;LI Jin;GAO Yuhang(China Ship Scientific Research Center,Wuxi214082,China;Taihu Laboratory of Deepsea Technological Science,Wuxi214082,China)

机构地区：[1]中国船舶科学研究中心,江苏无锡214082 [2]深海技术科学太湖实验室,江苏无锡214082

出　　处：《数字海洋与水下攻防》2023年第2期155-161,共7页Digital Ocean & Underwater Warfare

基　　金：海南省科技专项资助“深海智能作业装备操控关键技术研究”(ZDKJ201902)。

摘　　要：针对水下小目标探测与识别难的问题,开展基于侧扫声呐的声呐图像滤波、图像分割及目标提取方法研究。常规滤波方法难以有效清除图像中存在的噪声,从而造成图像质量下降。采用非局部均值滤波算法与GPU加速的方法,在获得声呐图像较好处理效果的同时,满足水下小目标检测实时性的要求;同时,采用膨胀算法与Canny边缘检测算法相结合的方式,实现了水下真假目标的有效区分。In order to solve the problem of small underwater target detection and recognition,the methods of sonar image filtering,image segmentation and target extraction based on side-scan sonar are studied.Conventional filtering methods are difficult to effectively remove the noise in the image,resulting in degradation of image quality.In this paper,the non-local means filter algorithm and GPU acceleration method are used to obtain better processing results of sonar images,and to meet the real-time requirement of small underwater target detection.At the same time,the expansion algorithm and Canny edge detection algorithm are combined to realize the effective distinction between true and false underwater targets.

关 键 词：非局部均值滤波 GPU 膨胀算法 CANNY边缘检测算法 

分 类 号：P391.4[天文地球—地球物理学]