![]() ![]() Additionally, the mortar has a high overload during launch, which will destroy the optical structure and make OIS impossible. Compared with MIS and EIS, the components of OIS are complex and expensive. It can be roughly classified into three categories, namely mechanical image stabilization (MIS), optical image stabilization (OIS) and electronic image stabilization (EIS). Generally speaking, video stabilization technology has been widely used in military and civilian fields, such as investigation, fire control, surveillance, in-vehicle and handheld cameras. ![]() However, the previous research was based on the macroscopic trajectory and ignores the effect of projectile’s jitter on the image. Then, the correction strategy of mortars was studied to improve the attack accuracy. Li proposed a novel trajectory correction fuze based on an image sensor. Therefore, the installation of a fuze with an infrared image sensor can not only improve attack accuracy, but also meet different mission requirements, which has received much attention. In this case, the infrared image sensor is widely used because of its long detection distance, good anti-interference ability and strong concealment. However, with increasingly complex operational backgrounds and missions, the guidance mode of trajectory correction fuze faces greater challenges. By installing a fuze, projectiles can obtain the correction function without adding any sensors or changing the size. Trajectory correction fuze is opening a low cost and high profit way to improve attack accuracy for various projectiles. This research provides theoretical and experimental basis for the intelligent application of sensor systems on fuze. The results illustrated that the proposed algorithm significantly reduced the computational cost without affecting the accuracy of the motion estimation. An example simulation and experiment were implemented to verify the effectiveness of this strategy. In addition, the gray projection algorithm was used to estimate the global motion vector by calculating the correlation between the curves of the adjacent frames. Correspondingly, a novel method of dividing sub-blocks by adaptive global gray threshold was proposed for the image pre-processing. Then, the transformation relation between the projectile’s motion and the shaky video was investigated so that the electronic video stabilization method could be determined. Particularly, the parameters of the infrared image sensor that strapdown with fuze were calculated. Following the introduction of the fuze’s workflow, the limitation of sensors for mechanical video stabilization on fuze was proposed. ![]() To cope with complex combat environments, an infrared image sensor was used to provide video output. In this design, the complexity of sensors and actuators were reduced. For a higher attack accuracy of projectiles, a novel mechanical and electronic video stabilization strategy is proposed for trajectory correction fuze. ![]()
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