无人机打击效果评估系统研究

这里研究了基于图像理解的无人机打击效果评估方法。重点阐述了轮廓提取技术、模板匹配技术和高层评估系统。该算法通过对打击前后图像进行变化检测,比较无人机打击前后的几何特征,参照不同部位不同的打击效果权重,对目标毁伤情况进行自动评估。实验表明,该算法提高了系统评估的精度,使评估结果更加准确。由于该算法具有通用性,该系统可以用于各类不同目标的打击效果评估。

Research on UAV Battle Damage Assessment System

In order to solve the problem of automatic battle damage assessment of UAV ,an evaluation algorithm based on image understanding is proposed. This paper focuses on contour extraction technology, template matching technology and top-level evaluation system. This algorithm, by detecting the image change and comparing its geometric characteristic of before-and-after UAV attack, and with reference to the different parts of different blow weight, makes automatic assessment of the damaged target. The experimental results show that this algorithm could improve the evaluation accuracy of the system and make the evaluation results more accurate. And for the generality of this algorithm, the system could be applied to assessing the damage effect of various targets.