Research And Implementation Of Infrared Ground Target Detection, Recognition And Tracking

The ground to ground tactical missile is one of the important weapons that attack ground target located outside of defense area. A majority of ground to ground tactical missiles are depending on inertial navigation system, so CEP can hardly reach meter-level precision and result in low battle efficiency, especially for small area of target. Terminal guidance technology is imminently needed to improve lethality of the missiles. Infrared terminal guidance is a key technology to improve lethality of the missiles. Taking infrared image terminal guidance as main task, this dissertation investigate detection and tracking of ground target in complex background, and design the information processor of infrared terminal seeker.The main research contents of the thesis list as follows:Firstly, technologies of no-linear edge detection in noise and disturb condition is researched. An soft morphological edge detection method with edge direction is proposed. Then, a method of edge detection based on fast median filter and weighted difference is presented. This method is feasible for hardware implementation.Secondly, according to characteristics of runway in infrared image , an runway detection method based on improved Slope-Intercept Hough Transform is proposed, in which statistics of edge direction is used to reduce parameter space conversion and direction of runway is used to extract maximum of parameter space. A line segment detection method based on connectivity of edge and perceptual organization principle is proposed. Line segment lists is builded and dealt with perceptual organization. Bridge detection and recognition is achieved by this method.Thirdly, characteristics of radar radome in infrared image is analyzed. A new circle detection method based on curvature estimation is proposed. In this method, after boundary tracking based on edge direction, boundary is segmented by estimated curvature, then circle parameter is computed in segmented boundary. Mean Shift tracking based on kernel histogram is studied, then an improved Mean Shift algorithm based on new histogram is proposed. This method can stably track radar radome in complex background.Fourthly, methods of building detection, recognition and tracking are researched. An improved FLS(fast level set) method is presented which is improved by new data structure, end condition and smoothness of curve evolution. Building is extracted by this method and recognized by shape matching. For tracking rotating building target, a method based on Gaussian Mean Shift with bandwidth matrix is studied.Fifthly, system processing strategy is discussed. Architecture of infrared terminal seeker is designed and detailed circuit design is analyzed. System flow of software is analyzed in detail. Implementation of fast median filter and weighted difference algorithm is simulated. Fifthly, system processing strategy is discussed. Architecture of infrared terminal seeker is designed and detailed circuit design is analyzed. FPGA Implementation of main modules and edge detection algorithm is simulated. Algorithm is hiberarchy partitioned.Processing flow of every target is analyzed in detail.