Research On Aerial Target Detection Technology Based On Video

In recent years,video aerial target detection technology,as one of the key technology of Photoelectric Air Defense Fire Control System,has been widely used in many areas such as precision guidance,photoelectric search and tracking.Based on the background of a certain project,this paper focuses on the research of video aerial target detection technology,including low-altitude flying target detection,target tracking and aerial small target detection.Aiming at the low-altitude flying target in complex sky scenes such as cloudy and grounding,an aerial target localization method based on gradient and local contrast is proposed.According to the difference of local image structure between aerial target,cloud edge and grounding background,local contrast is added on the basis of gradient calculation.The simulation results show that the method can effectively suppress the cloud edge and grounding background.In the aspect of target recognition,an aerial target recognition method based on support vector machine is designed.Histogram of oriented gradient is extracted,and the aerial target area is classified by the support vector machine.It can effectively recognize four kinds of typical aerial targets: aircraft,flying birds,UAV and missile.Aiming at the problems of tracking such as fast motion and occlusion,a long-term tracking method based on kernelized correlation filters is designed.Based on high-speed tracking with kernelized correlation filters,a detection module is added to determine whether to re-detect according to the tracking confidence in real time,and the long-term stable tracking of aerial target is realized.Aiming at the problems of aerial small target such as small image area,lack of texture information and edge interference,a small target detection method based on structure tensor and Gaussian difference is proposed.According to the difference of local image structure between edge,small target and smooth background,the structure tensor map is calculated.The Gaussian difference map is computed by adopting difference of Gaussians band-pass filter.The response map is obtained by normalizing and fusing the two maps.The simulation results demonstrate that the method can effectively suppress the background and enhance the target.Based on the above methods,the software for video aerial target detection is compiled and transplanted to the AM5728 platform.The software debugging and testing are completed,and a relatively complete embedded image platform is formed.The experimental results verify the effectiveness and reliability of the image processor.