Computer Vision for Determining Trajectory and Impact Position of Fighter-Aircraft Bombing

The motion detection process of bombing by fighter aircraft or combat drones is very important in the Weapon Impact Scoring System (WISS). Recently, the available WISS results are only based on the impact position of the fighter-aircraft bomb in the Air Weapon Range (AWR). The combat training safety regulation pushes observation which can only be made away from AWR. This paper presents the technique of computer vision to enhance WISS capability in observing fighter-aircraft bombs in the AWR. In this proposed method, not only the impact position is observed, but also the trajectory of the bomb gliding before exploding on the ground will be captured. This technique uses a digital video camera safely placed far from the AWR. The camera with a certain altitude on the tower is directed to the circle target to the source of the bombing. The proposed method processes the five-points position of the target circle like a clock (12-3-6-9-central point) while observing the bombing process prior to impact in the AWR. Based on real-time video processing, the image processing successfully makes a sequence of bomb trajectory and its impact position quickly. The results are very important to inform the pilot to improve the next bombing and to support precise analysis of more comprehensive bombing training.