红外技术, 2019, 41 (10): 924, 网络出版: 2019-12-05   

基于椭偏角成像的识别伪装目标方法

Method of Camouflaged Target Recognition by Imaging the Angle of Ellipsometry
作者单位
1 中南大学软件学院, 湖南长沙 410083
2 西部战区陆军保障部, 甘肃兰州 730000
3 陆军工程大学野战工程学院江苏南京 210014
摘要
偏振度的测量对反射辐射强度有一定的要求, 反射辐射强度较低时, 不同材料之间偏振度差别不明显, 且线偏振度受探测角和表面粗糙度影响较大, 以相同探测角探测粗糙度类似的目标时难以对目标从偏振度上区分。通过分析影响电磁波在物质表面反射辐射的振幅与相位因素, 研究了其偏振特性, 提出在线偏振光入射条件下, 通过对反射辐射椭偏角成像, 直接或间接辅助识别伪装目标的方法。建立椭偏角与复折射率、入射角之间的函数模型, 并通过软件仿真验证模型的正确性。文章为基于探测偏振信息进行伪装识别的方法提供一种新思路。
Abstract
Degree of polarization(DOP) measurements have requirements regarding the intensity of reflected radiation. In the case of low reflected radiation intensity, the difference in the DOP for materials is not easily distinguishable. In addition, the linear degree of polarization largely depends on the detection angle and surface roughness; therefore, it is difficult to differentiate the degree of polarization when targets with similar surface roughness are detected at the same detection angle. By analyzing the elements affecting the reflected electromagnetic radiation amplitudes and phases on the camouflaged target surface, this article presents an investigation on the polarization character of reflected radiation using a method of direct or indirect camouflaged target recognition imaging by considering the angle of ellipsometry (AOE) under linear polarized light. The function model of the angle of incidence, complex refractive index, and AOE was first established; this model was then simulated using MATLAB. The results showed that the model was able to describe the distribution properties of AOE.

曹晓炜, 曾锋, 张品, 颛孙晓博. 基于椭偏角成像的识别伪装目标方法[J]. 红外技术, 2019, 41(10): 924. CAO Xiaowei, ZENG Feng, ZHANG Pin, ZHUANSUN Xiaobo. Method of Camouflaged Target Recognition by Imaging the Angle of Ellipsometry[J]. Infrared Technology, 2019, 41(10): 924.

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