Reaserch On Zero-Fly Test System Based On Image Processing

For the dynamic measurement of shooting range, the image-based zero-fly test system plays a very important role. This zero-fly test method can significantly save the costs of test and effectively complete evaluation on the dynamic performance of the weapon system.In practical test of zero-flight, due to the speed of change, environmental changes, light intensity changing, atmospheric turbulence and other factors, target tracking in complicated environment would enable accuracy of tracking targets to decrease and affect test's accuracy. For a range of problems in the shooting range test, this thesis presents an algorithm based on particle filter to track moving targets, which deal with moving targets in the movement in unit time, a larger range, while the previous tracking methods can not guarantee zero-fly Test System accurate tracking problem. The thesis also analyzes the problem of image blur which brought by mechanical structure, optical system and other reasons during the target tracking procession, and proposed a solution to the shooting range of zero flight test requirements.