Research On The Method Of Ship Target Detection In Sea Sky Background Under Disturbance

Anti-ship missiles are the main assault weapons of sea operations.Because of the complex sea environment and the enemy's human interference,its performance challenges.It is particularly important to improve the ability of anti-ship missiles to detect ship targets.The detection technology of ship based on infrared technology is one of the main directions of today's target detection.This paper focuses on the problem of ship target detection in sea sky background under the interference condition.First,based on the study of interference characteristics,a method based on image neighborhood consistency counting and morphological interference bomb recognition is proposed for interference processing.By deep study of the sky cloud,sea clutter characteristics,the corresponding treatment is put forward.Second,a new method of sea-sky line detection based on multi-feature fusion is proposed.The experimental results show that the method performs well under strong sea clutter and multi-layer cloud conditions.Then,a ship target detection method based on multi-channel Gabor feature is proposed for the change of complex sea surface environment and ship target shape.The area near the sea-sky line is fused to the saliency map according to the distance to suppress the interference and enhance the target saliency.Experiments show that the method has strong anti-interference ability compared with the typical target detection method.Finally,a method of ship target detection based on sea-sky line guidance and convolution neural network is proposed.Through the sea-sky line guidance,the calculation is greatly reduced.Through the design of the network,making samples,network training,target detection process,the detection process is realized.Experiments show the effectiveness of this method.