红外成像系统对目标的探测能力分析

通过对红外热成像系统实验室综合性能参数MRTD(最小可分辨温差 )在实用条件下的修正 ,提出了实际计算目标探测概率的具体方法和步骤 ,此方法可用来定量评价目标的可探测性和目标隐身技术措施及设计方案的效能。     

A pixel-level local contrast measure for infrared small target detection

Infrared (IR) small target detection is one of the key technologies of infrared search and track (IRST) systems. Existing methods have some limitations in detection performance, especially when the target size is irregular or the background is complex. In this paper, we propose a pixel-level local contrast measure (PLLCM), which can subdivide small targets and backgrounds at pixel level simultaneously. With pixel-level segmentation, the difference between the target and the background becomes more obvious, which helps to improve the detection performance. First, we design a multiscale sliding window to quickly extract candidate target pixels. Then, a local window based on random walker (RW) is designed for pixel-level target segmentation. After that, PLLCM incorporating probability weights and scale constraints is proposed to accurately measure local contrast and suppress various types of background interference. Finally, an adaptive threshold operation is applied to separate the target from the PLLCM enhanced map. Experimental results show that the proposed method has a higher detection rate and a lower false alarm rate than the baseline algorithms, while achieving a high speed.     

红外成像型反舰导弹作战环境仿真研究

红外成像型反舰导弹的作战主要包括:被攻击的舰船目标,海水、天空背景,以及光照和大气中的自然干扰和可能遇到的人为干扰———红外诱饵弹、红外烟幕弹等。对作战环境的成像仿真是红外成像型反舰导弹效能评估的一个重要内容。为了使仿真达到实时、动态和交互的效果,讨论了一种运用OpenGL编程实现三维动画的仿真方法。     

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。     

双模复合制导导弹系统

说明了双模复合制导技术的概况,并着重介绍了近一二年美国专利中出现的几种双模复合制导导弹系统的制导原理与结构,包括激光/红外制导、毫米波/红外光纤制导、雷达/红外制导、半主动激光/激光雷达制导等。最后说明了双模复合制导技术的发展方向。     

基于小波变换与数学形态学的红外图像分割方法

提出一种基于小波变换和形态学相结合的红外图像分割方法,该方法利用小波变换和形态学消除红外图像的混合噪声,抑制背景干扰和增强目标;通过选择适当的结构元素进行系列形态组合运算,自适应确定阈值,提取目标;利用形态学水线区域分割法对图像进行分割,分离目标区域。实验结果表明,该方法能有效检测和分割出低信噪比复杂背景红外图像中的目标。     

军用红外目标探测的特点、发展和应用前景

论述了中波红外探测器和长波红外探测器的特点、发展以及ＦＬＩＲ（前视红外雷达） 成像系统用于探测地面目标、ＩＲＳＴ（红外搜索和跟踪） 点源探测系统用于探测空中目标和红外成像导引头的应用前景、发展趋势。     

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.     

飞机的红外隐身技术

目前采取的红外隐身措施主要是冷却、屏蔽、遮挡和红外隐身涂料等手段,降低或改变目标的红外辐射特征,实现对目标的低可探测性。概述了红外隐身技术的基本原理,通过对飞机红外隐身发展现状的分析,研究了飞机红外隐身技术所采取的措施。     

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.