Design And Implementation Of Ground Vision Detection System For Small And Weak Targets In The Air

The Times are advancing,the application field of small uav is expanding.At the same time,the phenomenon of "black flight" of uav in some airports or other important occasions that affects the normal flight order and the safety of people's lives and property has also attracted wide attention.Aiming at this phenomenon,this paper designs a ground vision detection system for small moving targets in the air.According to the imaging characteristics and flight environment of weak small target,take the method of infrared detection to capture of weak small target.By analyzing the characteristics of the target,background and noise in infrared image,building a infrared image model of air weak small target.The image is pre-processing using time domain,space domain and transform domain respectively.Then,three different threshold segmentation methods,namely fixed threshold,adaptive threshold and Otsu method,were used to detect the single frame and the limitations of the single frame detection were analyzed.Finally,an optimal dynamic programming algorithm based on multi-frame detection is proposed.Based on the standard dynamic programming algorithm,an index function based on the target intensity is constructed,and a penalty function is added according to the consistency of the target motion path.The monitoring interface is designed through MATLAB software platform to detect the weak targets in the simulation and output the location information of the targets.This algorithm overcomes the problem of poor anti-interference ability of the standard dynamic programming algorithm,effectively improves the image signal-to-noise ratio,and improves the detection performance of the algorithm.