This paper is mainly aimed at the development requirement of infrared seeker precision guided weapon system. The infrared sensor of seeker is modeled and simulated, and the image sequence is output. The imaging simulation quality of infrared seeker sensor and the adaptability of terminal guidance algorithm based on simulation real-time graph are evaluated from the perspectives of multi-granularity similarity parameter index system construction, multi-saliency fusion feature consistency and bio-visual feature similarity evaluation. At the same time, the analytic hierarchy process (AHP) model is applied to the process of similarity evaluation to solve the comprehensive decision-making problem in multi-index similarity evaluation, and to evaluate the performance of the simulation system from the perspective of the combination of human-computer intelligence, so as to guide the improvement of the simulation system. Based on the above research results, a set of mature and reliable simulation similarity evaluation software is formed. The research results are of great significance to the development and standardization of the whole infrared simulation technology.
Aiming at the vehicle target detection problem of multi-polarization SAR image under the terrain backgrounds, the
global CFAR detection by dual-polarized 16-bit data is proposed, which effectively reduces the influence of terrain
clutter on detection. In addition, through the analysis of terrain flatness and the screening of built-up areas, the target
detection area is reduced, and the interference of the complex terrain and the densely populated area to the target
detection is further reduced, and the reliability of the target detection is greatly improved.
Aiming at vehicle detection on the ground through low resolution SAR images, a method is proposed for determining the region of the vehicles first and then detecting the target in the specific region. The experimental results show that this method not only reduces the target detection area, but also reduces the influence of terrain clutter on the detection, which greatly improves the reliability of the target detection.
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