摘要
根据回波探测原理,研究了一种利用声呐对内河航运船舶进行监测的方法。利用项目组在广西西江航道上建立的一套侧扫声呐船舶吃水深度检测系统,获取了大量的监测数据。通过对这些数据的分析,研究了船舶目标和鱼群、渔网、垃圾漂浮物等伪目标之间的区别,总结出船舶目标的能量变化特征和线型结构特征。根据这些特征,提出了一种针对船舶目标的快速识别方法。最后通过试验,证明该方法具有检测率高、虚警概率小、实时性好等优势,为进一步实现内河航运船舶航行状态的智能监测提供了一种技术手段。
Based on the principle of echo detection, a method of monitoring inland ships by sonar is studied in this paper.A ship draft detection system by using side-scan sonar is installed in Xijiang channel in Guangxi, and a large amount of monitoring data is obtained. By analyzing these data, the differences between ship targets and pseudo targets such as fish swarm, fishing net and garbage floating objects are studied, and the energy variation characteristics and linear structure characteristics of ship targets are summarized. According to these characteristics, a fast recognition method for ship targets is proposed. Finally, experiments show that the proposed method has the advantages in high detection rate, low false alarm probability and good real-time performance. This method provides a technical means for further realizing the intelligent monitoring of the navigation state of inland ships.
作者
王晨
陈晶晶
王润田
WANG Chen;CHEN Jingjing;WANG Runtian(Shanghai Acoustic Laboratory,Chinese Academy of Science,Shanghai 201815,China)
出处
《声学技术》
CSCD
北大核心
2022年第2期199-204,共6页
Technical Acoustics
基金
国家自然科学基金(61931022)资助项目。
关键词
船舶识别
回声探测
侧扫声呐
内河船
ship recognition
echo detection
side-scan sonar
inland ships
