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.     

基于预报误差分布拟合的卫星历史机动检测方法

轨道机动会引起在轨卫星的轨道异常，是空间态势感知的重点关注对象之一。为此，提出一种从卫星的两行轨道要素编目数据中检测历史机动的方法。通过分析预报误差检测轨道参数的异常编目值，进而获得相应的历史机动信息。对卫星的两行轨道要素编目数据两两预报求差得到预报误差的样本数据后，利用期望最大化算法可以拟合得到以高斯混合模型表达的预报误差的概率分布模型；以此为基础，可以确定利用预报误差检测轨道参数异常编目值的门限；利用轨道机动与异常编目值之间的对应关系，最终实现机动检测。对典型活动卫星的机动检测结果表明，所提方法能够在准确检出历史机动事件的同时保持较低的误检率。     

基于IMM-RUASFF的网络化目标跟踪算法

针对目前网络化目标跟踪算法存在实时性差、精度低等问题进行了研究。首先,基于网络信息共享需求,建立了网络探测节点的目标跟踪模型;其次,网络探测节点目标跟踪需求和实战要求发现目标经常是有多种运动状态并存,而单一模型的滤波器不能满足对机动目标跟踪性能的要求,采用了基于交互式多模型(Interacting Multiple Model,IMM)的有反馈实时更新的异步状态融合算法。最后,针对多个探测节点目标跟踪的状态融合估计问题,提出了一种有反馈实时更新的异步状态融合算法,通过仿真验证了算法的有效性。     

某型导弹舵机电特性检测

在分析某型导弹舵机结构和工作原理的基础上,介绍了该型导弹舵机电特性检测系统,给出了电特性检测参数,并研究了具体检测方法,对确认该型导弹的正常工作状态具有指导意义。     

一种新的足球视频语义镜头表示及事件查询框架

提出了一个足球视频中的语义镜头表示及事件查询框架.在这个框架中,定义了不同的语义镜头,并且每类语义镜头都可以由五个特征属性所刻画.在语义镜头定义的基础上,为了弥补传统的事件查询方式的不足,提出了一种用户定义事件的查询方式,它是一种基于语义镜头合成Petri网表示模型的查询方式,可以由用户自由定义所感兴趣的事件Petri网表示结构,实验证明该查询方式能有效提高查询效率,并有很大的灵活性,能适应不同广播公司的转播规则,但该查询方式需要用户具有一定的专业和领域知识.实验数据来源于2006年德国世界杯、英格兰足球超级联赛和西班牙足球甲级联赛.     

基于DSP的复杂背景下瞄准分划探测与识别

为解决嵌入式模拟射击训练系统中瞄准分划自动探测与识别的问题,以ADSP-BF533数字视频处理系统为平台,利用瞄准分划的灰度和形状特征,综合运用边缘检测、数学形态学和模板匹配等算子,提出了一种复杂背景下瞄准分划探测与识别算法,成功实现了对瞄准分划的自动探测和识别。     

有源、无源联合探测系统综合性能分析

根据无源探测系统与有源雷达组成的联合探测系统,给出了一种有源、无源联合探测系统的探测模型,定性、定量的仿真分析了不同布站方法时,系统的探测精度、探测模糊区分布问题,得出了联合探测系统的最优布站方法;与无源探测系统相比较,联合探测系统提高了系统探测精度,改善了探测模糊区.仿真结果可为工程实践中雷达组网的优化部署提供理论依据.     

【专题】水际岸滩沉船顽固障碍破除方法研究

本文针对水际岸滩沉船顽固障碍难以破除的现实课题，通过列举沉船顽固障碍的危害性，分析了其碍障作用机理，探索和总结了一套平战时敌沉船顽固障碍定位标识的数据库，并对几种常用的破除方法进行了可行性分析。为增强对沉船顽固障碍碍航的直接认识，本文从实战角度分析近年来因碰触沉船而发生的现实事故，提出了优先回避原则，据此可避开沉船等障碍物规划编队航行路线。此外，紧急作战情况时若发现沉船顽固障碍，出于航道有限或战法需要，必须对沉船顽固障碍物进行破坏清除。目前沉船顽固障碍清除的方法主要有快速打捞或者移位法、水下爆破辅以水下切割的解体法、依托陆军现有爆破装备破除法以及联合引导空海火力清除法四种方法。 [关键词] 沉船顽固障碍；作用机理；探测定位；破坏清除     

低速冲击下玻璃钢/钢复合结构损伤特性实验研究

考虑基体材料的不同增韧特性,针对两种不同的玻纤织物增强复合材料/钢复合结构进行低速冲击实验,采用超声波探伤仪对玻璃钢损伤区域进行了探测.结果表明,采用增韧基体的玻璃钢/钢复合结构在低速冲击下玻璃钢层的抗冲击能力更强,相同能量冲击下的损伤面积更小;损伤面积近似呈正方形分布,正方形对角线与纤维方向一致.     

War,vagueness and hybrid war

It has frequently been observed in the literature on hybrid wars that there is a grey zone between peace and war, and that hybrid wars are conflicts which are not clear cases of war. In this paper, I attempt to illuminate this grey zone and the concept and nature of war from the philosophical discussions of vagueness and institutional facts. Vague terms are characterized by the fact that there is no non-arbitrary boundary between entities which lie in their extension, and entities which do not lie in their extension. I apply a theory of vagueness to notions such as “war” and “peace” and go on to suggest that the exact boundary for what counts as a war or not is arbitrary. However, the context in which the conflict occurs determines a range of possible locations for this boundary. The most important contextual parameter is in this respect how the parties to the conflict themselves conceptualize the conflict. I suggest that this can in various ways help us understand grey-zone conflicts.