Research On Measurement Method Of Artillery Jump-angle Based On Image Vision

With the gradual increase in the high-tech content of modern battlefields,higher requirements have been placed on modern artillery systems,and the need to solve the problem of artillery shooting accuracy is becoming more and more urgent.As one of the important parameters that affect the firing accuracy of the artillery,the jump angle of gun measurement is a key link for quickly analyzing and diagnosing the accuracy of artillery firing.It is also urgently needed to design high-performance and high-precision artillery.Because traditional jump angle of gun measurement methods have inherent defects such as large errors,low efficiency,and small practicability,this paper proposes a method for measuring jump angle of gun based on image vision.It mainly designs and optimizes key steps such as muzzle image center positioning,unmanned aerial vehicle light source target detection and binocular intersection algorithm in the measurement system,and finally reaches the artillery jump angle measurement requirements.Aiming at the problem of muzzle center positioning,this paper uses the least squares fitting algorithm in digital image processing technology to locate the muzzle image center position.Because the original algorithm has insufficient calculation complexity and measurement accuracy,the paper proposes an improved least-squares circle fitting algorithm based on the original algorithm.This algorithm improves the accuracy of the measurement while reducing the computational complexity by improving the objective function of the original algorithm.Aiming at the problem of unmanned aerial vehicle light source target detection,this paper proposes an improved Gaussian mixture model weak small moving target detection algorithm based on singular value decomposition.The algorithm uses the singular value decomposition method to determine the similarity between the target light source and the sky background,and dynamically adjusts the discrimination threshold of the Gaussian mixture model according to the similarity degree,which improves the detection accuracy of moving targets with weak and small light sources.Experimental results show that the improved algorithm proposed in this paper can detect weak and small moving targets better than the traditional Gaussian hybrid algorithm,and can accurately and efficiently detect weak and small moving targets.Aiming at the problem of precise target location,this paper proposes an improved algorithm of least squares estimation for two-station intersection and a maximum likelihood estimation algorithm for intersection calculation.The improved algorithm of least square estimation at the two-station intersection uses the best accuracy of the four results calculated by the projection method as the initial value,which improves the original least square estimation algorithm,so that the accurate target position can be obtained.This algorithm not only improves the accuracy of calculation,but also avoids distortion problems caused by horizontal or vertical projection.The maximum likelihood estimation algorithm for intersection calculation uses the maximum likelihood estimation theory to estimate the target position.The algorithm obtains the point with the highest probability of existence of the target by solving the maximum value of the likelihood function,and determines the most likely position of the target,so that the calculation result is closer to the true value,which is a big improvement in the intersection calculation method.This paper also analyzes the error of the measurement system,including system installation control,camera calibration and digital image processing algorithms.This paper analyzes the influence of these factors on the measurement accuracy of the system,obtains the overall error of the measurement system,and proposes suggestions for optimization and improvement,which makes the jump angle of gun measurement results more accurate and improves the rationality,reliability,and practicability of the jump angle of gun measurement system.