Research On Optical Calibration Method Of Artillery Jump-Angle When Shooting With An Elevation

In modern military operations,the firing accuracy of artillery shells will affect combat performance to varying degrees.Due to the recoil of the projectile,the direction of the initial velocity of the projectile deviates from the direction of the axis of the artillery barrel,resulting in a jump angle.The traditional artillery jump angle measurement method has problems such as low precision and large error,and does not actually solve the problem of jump angle measurement under shooting at different elevation angles.This paper mainly studies the optical calibration method of artillery elevation jump angle.The main work includes the following contents:In view of the fact that the traditional artillery jump angle measurement method cannot solve the problem of jump angle measurement in the state of large-angle elevation,and there are shortcomings such as large errors,false detection and missed measurement,this paper proposes an optical calibration method of artillery elevation jump angle,which mainly uses the UAV.And the UAV equipped with the light group is used as an aerial virtual target to provide a calibration reference for the artillery calibration device.In the actual experiment process,it can be divided into the experimental scheme in which the digital imaging artillery sight is placed on the breech of the artillery gun and the experimental scheme in which the digital imaging artillery sight is placed in the muzzle of the artillery.In the artillery sight and gun tail placement experiment scheme of the artillery elevation jump angle measurement system,a muzzle center positioning algorithm with improved geometric characteristics is proposed to solve the problems of unclear edges and inaccurate center positioning of the collected gun muzzle images,using the proposed decision tree to detect the special right triangle,and then using the dynamic matrix and voting system to accurately locate the muzzle center.Compared with the traditional Hough circle detection algorithm,the algorithm takes less time and is more practical.In the artillery sight muzzle placement experiment scheme of the artillery elevation jump angle measurement system,a light source based on improved area growth is proposed.And it solves the problem that the light source of the UAV target on the virtual target surface in the air is weak and difficult to accurately locate the center of the light source.The center detection algorithm uses the fuzzy C-means cluster centroid as the seed point for region growth segmentation,and segments the light source target according to specific growth criteria.The experimental results show that the algorithm can achieve accurate extraction of the center of the light source.Aiming at the problems of low definition and blurred contours of light source moving targets in images in special weather with low visibility,such as haze weather,a target detection algorithm based on dehazing enhancement is proposed.Firstly,on the basis of the foggy degradation model,the edge-window mean filtering algorithm is used to improve the initial transmittance.Then,the atmospheric light value is obtained by the average patch method,and the original image is restored.Finally,through the singular value decomposition method,the degree of similarity between the light source target and the sky background is judged,and the discrimination threshold of the Gaussian mixture model is dynamically changed.The algorithm takes less time,and the average detection accuracy can reach 90%,which can accurately and efficiently detect the moving target of the light source.This paper also analyzes the jump angle data of different elevation angles,and the influence of the two experimental schemes on the error of the jump angle calculation.Compared with the traditional measurement method,the research on the optical calibration method of the artillery elevation jump angle proposed in this paper is more effective and accurate.