Research On The Algorithm Of Target Detection For Marine Radar Echo Image Based On Edge Profile

Radar can detect long distance targets all day because it is not blocked by fog,clouds,rain and other conditions,so it becomes an indispensable electronic equipment in the military.It is also widely used in resource detection,environmental detection,marine police law enforcement and other scientific research,such as atmospheric physics.Radar echo image is obtained by sampling the reflected electromagnetic wave signal.Because there is a lot of noise in the image without filtering,it is challenging to use naked eye resolution.Radar echo image is obtained by sampling the reflected electromagnetic wave signal.Without filtering processing there is a lot of noise in the image,so it is challenging to use the naked eye to distinguish.Therefore,it is of great significance to study the target detection method of radar echo image for recognition and make quick decisions.In this paper,the radar echo image is taken as the research object,to study the target detection performance of the echo image generated under different working conditions.The main work of the paper is as follows:(1)Based on the characteristics of radar echo image with strong noise,the basic filtering algorithm is studied to improve the quality of radar echo image,including median filtering,mean filtering,NL-means(Non Local means)algorithm,BM3D(Block-matching 3D filtering)denoising algorithm.The experimental results shows that the image denoising algorithm based on BM3 D can make good performance on the radar echo image well,At the same time,we also do some researches on the influence of the hard threshold operator on the denoising effect in the BM3 D algorithm.(2)According to the characteristics of radar echo image itself,this paper introduces the processing effect of different image filtering algorithms for a large number of noises in radar echo image.Secondly,some algorithms for extracting the contour information of image are briefly introduced.The method of extracting target contour information with Canny operator as the core is used to obtain target information on radar echo image and then detect it.Finally,through the discussion and analysis of the experiment,the simple use of the Canny operator can not detect all the targets in the radar echo image,and the miss detection rate is relatively large.Besides,the experimental results showed that the detection effect was not satisfactory without modifying the threshold of extracting target contour information with Canny operator as the core.(3)This paper proposes a radar echo image target detection method based on contour extraction.There are two main contributions of this method: first,drawing on the concept of IOU(Intersection Over Union)in target detection,setting a threshold to compare the size between the two target contour information,and filtering the target information that does not meet the requirements.Second,the radar echo image obtained under the same working condition,can detect most of the targets in the image,error detection is lower than the Canny operator,and the radar echo image obtained under different working conditions can also have a good detection effect.Experiments show that the method proposed in this paper has good accuracy and robustness for target detection of radar echo images.