船舶自动识别系统中视觉跟踪控制研究

Research on the visual tracking control in ship automatic recognition system

船舶自动识别系统AIS诞生于20世纪90年代,最初是由舰船、飞机的敌我侦察系统发展而来的,船舶自动识别系统不论在军事领域还是民用领域都具有非常广泛的应用,包括船舶定位和导航、船舶通信、渔业生产管理等。船舶自动识别系统主要由海岸基站、VHF通信器和船载基站等组成,目前,在船舶的障碍避让、船岸通信、海上交通管理等方面发挥着必不可少的作用。本文针对传统的船舶自动识别系统,将机器视觉跟踪技术应用于船舶的识别和侦察过程中,并对该系统的噪声过滤等问题进行研究,大幅提高了AIS系统的船舶识别效率,具有重要的意义。

The ship automatic identification system(AIS)was born in the 1990 s.It was originally developed from the enemy-or-foe reconnaissance system of warships and aircraft in military operations.The ship automatic identification system has a very wide range of applications in both military and civil fields,including ship positioning and navigation,ship communication,fishery management and so on.The automatic ship identification system mainly consists of coastal base station,VHF communicator and shipborne base station.At present,it plays an indispensable role in obstacle avoidance,coastal communication and maritime traffic management.In this paper,aiming at the traditional automatic ship recognition system,machine vision tracking technology is applied to ship recognition and reconnaissance,and the noise filtering of the system is studied,which greatly improves the ship recognition efficiency of AIS system,and has important significance.