Research On Target Detecting And Tracing Of Infrared Ships And Jet Positioning

As one kind of marine law-enforcement ships,main deterrence of surveillance ships are antiriot water cannons.Traditional control method of antiriot water cannons is changing the pitch angle of the water cannons manually and driving the disturbance ships away.With the advent of technology,the concept of intelligence has been deeply applied to every industry,and surveillance ships equipped with antiriot water cannons and optoelectronic surveillance systems are developing towards all-weather and complete intelligence.The paper researches on the optoelectronic surveillance system of surveillance ships in order to design an automatic tracing and jet positioning system aided by photoelectric hardware and computer vision technique.Choose the infrared thermal imager as image acquisition device to realize all-weather and continuous surveillance of the sea.As the infrared thermal imager is temperature adaptive,the system judges whether any ship exists in the field of view based on gray level histogram of infrared images.If any ship gets close,the system identifies target according to automatic recognition algorithm such as edge detection operators.Considering the requirement of accuracy and real-time of the system,choose optimized matching algorithm based on gray to realize tracing of recognized target,and update the template selectivity.The purpose of the algorithm researches above is providing the position of target ship for water cannon automatically so that the water cannon can hit the target.In order to judge automatically whether the water cannon hits target accurately,preprocess the infrared image and extract the jet trajectory based on the characters of jet.Position the droppoint of the jet according to the characters including gray level,fitting line,and location which are extracted from the jet curve.Compare the position between target ship and droppoint so that the system can make judgements.If the position difference between target and droppoint is greater than threshold value,the system adjusts the pitch angle based on the difference so to build a closed-loop control system.Design a verification platform and carry out a large number of experiments.The result shows that the accuracy and real-time about target tracing and droppoing positioning when using the algorithm above is very good.The system is feasible.