摘要
检测浅层隐匿目标要求探测系统能有效穿透各种介质并能对不同深度处的目标实现成像。毫米波由于其穿透性高、对生物体伤害小、环境适应能力强和在该波段下不同材料的回波对比度较好的特点广泛应用于隐匿目标探测领域。宽带毫米波探测系统通过FMCW毫米波雷达阵列采集隐匿目标的反射信号以重建电场分布信息,获取目标的图像。但是毫米波探测系统的距离分辨力不足,重建的图像会受全息散斑的影响引入伪像而干扰真实目标的图像。针对这一问题,提出基于结合局部信息的模糊c均值阈值算法(FLICM)分割真实目标的方法以减少虚假目标的干扰,并将所提出的算法与传统算法进行了比较。实验结果表明,所提出的算法有效地实现了隐匿目标的图像分割,抑制了散斑的影响,提高了对隐匿物品的探测精度。
Detection of shallow concealed targets requires that the detection system can effectively penetrate all kinds of media and image the targets at different depths. Millimeter wave is widely used in the field of concealed target detection because of its high penetrability, little damage to organisms, strong adaptability to the environment and good echo contrast of different materials in this band. The broadband millimeter wave detection system collects the reflected signal of the hidden target through FMCW millimeter wave radar array to reconstruct the electric field distribution information and obtain the target image. However, the range resolution of millimeter wave detection system is insufficient, and the reconstructed image will be affected by holographic speckle to introduce artifacts and interfere with the real target image. In order to solve this problem, proposes a real target segmentation method based on fuzzy c-means thresholding algorithm(FLICM) combined with local information to reduce the interference of false targets, and compares the proposed algorithm with the traditional algorithm. The experimental results show that the proposed algorithm effectively realizes the image segmentation of hidden objects, suppresses the influence of speckle, and improves the detection accuracy of hidden objects.
作者
翟盛杰
姚金杰
杨志良
Zhai Shengjie;Yao Jinjie;Yang Zhiliang(Shanxi Provincial Key Laboratory of Information Detection and Processing,North University of China,Taiyuan 030051,China)
出处
《电子测量技术》
北大核心
2021年第12期139-143,共5页
Electronic Measurement Technology
