An infrared target intrusion detection method based on feature fusion and enhancement

Infrared target intrusion detection has significant applications in the fields of military defence and intelligent warning. In view of the characteristics of intrusion targets as well as inspection difficulties, an infrared target intrusion detection algorithm based on feature fusion and enhancement was proposed. This algorithm combines static target mode analysis and dynamic multi-frame correlation detection to extract infrared target features at different levels. Among them, LBP texture analysis can be used to effectively identify the posterior feature patterns which have been contained in the target library, while motion frame difference method can detect the moving regions of the image, improve the integrity of target regions such as camouflage, sheltering and deformation. In order to integrate the advantages of the two methods, the enhanced convolutional neural network was designed and the feature images obtained by the two methods were fused and enhanced. The enhancement module of the network strengthened and screened the targets, and realized the background suppression of infrared images. Based on the experiments, the effect of the proposed method and the comparison method on the background suppression and detection performance was evaluated, and the results showed that the SCRG and BSF values of the method in this paper had a better performance in multiple data sets, and it’s detection performance was far better than the comparison algorithm. The experiment results indicated that, compared with traditional infrared target detection methods, the proposed method could detect the infrared invasion target more accurately, and suppress the background noise more effectively.     

红外成像自动目标识别技术研究--计算模型与数据流程

红外自动目标识别是当前智能化图像处理及应用开发的前沿关键技术,其研究进展与计算机视觉的发展水平紧密相关。人类视觉系统是计算机视觉的原始模型,其视觉感知机理的研究将有助于揭示视觉表象的本质,进而为准确描述图像特征信息提供科学而可靠的依据。主要从视觉感知模型、感知功能模块响应特性、视觉对比灵敏度等方面对视觉感知基本原理加以综合分析,并力图利用这些功能卓越的信息处理机制阐明一种具有普适性的视觉计算模型———目标-背景表征模型。在此基础上,将背景区域感知与目标特征分析相结合,提出了自适应信号检测、目标特征识别和运动轨迹跟踪的层次化数据处理流程,从而为红外自动目标识别技术提供一条新的探索途径。     

石墨烯电声换能器的设计与对比

为了使石墨烯电声换能器获得最优性能，主要针对石墨烯热致发声器件和静电式发声器件进行了发声机理研究，通过理论建模和分析，得到了薄膜尺寸、厚度以及应力等结构参数对两种电声换能器的频率响应特性的影响规律。通过微纳加工制造方法设计和制备了一批不同结构参数下的电声换能器，并对这些器件进行了性能测试和对比分析，结果表明：薄膜厚度对热致电声换能器发声声压影响显著，即薄膜越薄，该电声换能器的发声声压越大；薄膜半径、厚度和应力对静电式电声换能器的频带影响较大，即薄膜半径越大，厚度越薄，应力越小，该电声换能器频带越宽。以上研究为优化选取石墨烯电声换能器的类型，优化设计结构参数，提升器件发声性能奠定了基础。     

Design of infrared camouflage cloak for underground silos

The temperature difference between the exposed surface of an underground silo and the surrounding soil surface is significant, which means a silo can be easily found by infrared detection. We designed an infrared camouflage cloak consisting of an imitative layer and an insulation layer for the silos. The imitative layer is used to imitate the thermal response of the soil to the surrounding environment. The insulation layer is used to weaken the impact of the internal temperature field of the silo on the lower boundary of the imitative layer. A silo model including surrounding soil and a soil model without silo were established, and the influences of the material and thickness of each layer on the infrared camouflage effect were analyzed. The results show that when using a silicone rubber containing alumina powder with a volume fraction of 3.18% as the imitative material, its thermal inertia is in consistent with that of the soil. Meanwhile, it was found that the thickness of the imitative layer doesn’t need to be greater than its thermal penetration depth to achieve the infrared camouflage, and the absence of the insulation layer will cause hot spots on the silo surface in winter to weaken the camouflage effect. The optimized thicknesses of the imitative layer and the insulation layer are 22 cm and 4 cm respectively. The simulations indicate that with the application of the cloak, the maximum value of the absolute values of the temperature differences between the average temperatures of the silo surface and the surrounding soil surface temperatures drops from 1.59 °C to 0.31 °C in summer and from 1.92 °C to 0.21 °C in winter. This designed cloak can achieve an all-weather and full-time passive infrared camouflage.     

一种改善雷达测距测角精度的窄带补偿方法

多通道间幅相不一致会影响三维成像雷达的成像质量。针对步进频率体制三维成像雷达,分析了系统窄带部分通道间幅相不一致对目标三维(距离、方位角、俯仰角)成像的影响,并提出了一种基于中频注入补偿信号的补偿方法。     

国外光电有源干扰装备的新进展

为了有效对抗日趋严重的红外导弹威胁 ,机载红外干扰机技术在迅速发展与更新 ,先进的定向红外对抗装备在不断问世。而为了有效保护坦克装甲车辆 ,国外的新型坦克已经普遍采用了反导弹光电干扰设备。综述了国外研制与装备的光电干扰装备新进展