箔条云在电磁干扰领域应用广泛, 其具有成本低廉、干扰效果好等特点, 然而其电磁散射计算却存在诸多难点, 其中一个核心问题是箔条云的扩散建模。基于空气动力学的箔条云扩散仿真存在着很多尚未攻克的难题, 因此, 可以使用高速摄影的方式对箔条云的扩散过程进行研究, 在实际应用中, 如何从图片中识别箔条的长度, 成为了一个必须解决的问题。基于支持向量机算法和 HOG算法实现了图片中单根箔条长度的快速提取, 仿真实验表明, 提出的箔条长度识别算法准确率可达 99%, 单张图片识别时间小于 1s, 有效地提高了箔条云扩散过程中的几何数据的处理效率。

Chaff cloud is widely used in the field of electromagnetic interference. Chaff clouds are cheap to made and have a good interference performance. However, there are many difficulties in electromagnetic scattering evaluation of chaff cloud. One of the core problems is to establish a proper diffusion model of the chaff cloud. In fact, there are many unsolved problems in chaff cloud diffusion simulation with aerodynamic method. Therefore, the diffusion process of chaff cloud can be studied by means of high-speed photography. How to obtain the length of chaff elements from the picture is a problem that must be solved. In this paper, support vector machine and HOG algorithm are used to extract the length of single chaff element from the image. The simulation results show that the accuracy of the proposed chaff length recognition algorithm can reach 99%, and the recognition time of a single image is less than 1 s. It improves processing efficiency of chaff cloud diffusion modeling.