UAV Velocity Measurement for Ground Moving Target

To satisfy the demand of measuring the velocity of ground moving target through unmanned aerial vehicle(UAV)electro-optical platform,two velocity measurement methods are proposed.Firstly,a velocity measurement method based on target localization is derived,using the position difference between two points with the advantages of easy deployment and realization.Then a mathematical model for measuring target velocity is built and described by 15 variables,i.e.UAV velocity,UAV attitude angular rate,camera direction angular rate and so on.Moreover,the causes of velocity measurement error are analyzed and a formula is derived for calculating the measurement error.Finally,the simulation results show that angular rate error has a strong influence on the velocity measurement accuracy,especially the UAV pitch angular rate error,roll angular rate error and the camera angular altitude rate error,thus indicating the direction for improving velocity measurement precision.

Passive target tracking with intermittent measurement based on random finite set

In the tracking problem for the maritime radiation source by a passive sensor,there are three main difficulties,i.e.,the poor observability of the radiation source,the detection uncertainty(false and missed detections)and the uncertainty of the target appearing/disappearing in the field of view.These difficulties can make the establishment or maintenance of the radiation source target track invalid.By incorporating the elevation information of the passive sensor into the automatic bearings-only tracking(BOT)and consolidating these uncertainties under the framework of random finite set(RFS),a novel approach for tracking maritime radiation source target with intermittent measurement was proposed.Under the RFS framework,the target state was represented as a set that can take on either an empty set or a singleton; meanwhile,the measurement uncertainty was modeled as a Bernoulli random finite set.Moreover,the elevation information of the sensor platform was introduced to ensure observability of passive measurements and obtain the unique target localization.Simulation experiments verify the validity of the proposed approach for tracking maritime radiation source and demonstrate the superiority of the proposed approach in comparison with the traditional integrated probabilistic data association(IPDA)method.The tracking performance under different conditions,particularly involving different existence probabilities and different appearance durations of the target,indicates that the method to solve our problem is robust and effective.

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.

Strain Measurement for Hollow Projectiles During Its Penetration of Concrete Targets

Gives a new technique to measure the dynamic deformation behavior and strain development of a hollow steel projectile during its penetration of concrete targets. Direct strain measurement was performed by applying strain gages attached to the inner walls of the hollow projectile, linked with on-board testing and storage recorder. This on-board test-record system is easy to operate, cost-effective and can provide reasonable, accurate and detailed information. Obverse ballistic experiments were carried out on ogival-nose hollow projectiles normally impacting concrete targets at velocities from 150 m/s to 300 m/s. The deformation process of projectiles was measured, recorded and played back. Profiles of voltage-time relationship were successively obtained and transfered to strain-time relationship with the aid of calibration tables. It was found that projectiles go through a series of compression and tension deformations intermittently. Relationships between strain development and projectile deformation process were discussed.

Scaled radar cross section measurement method for lossy targets via dynamically matching reflection coefficients in THz band

In the terahertz band,the dispersive characteristic of dielectric material is one of the major problems in the scaled radar cross section(RCS)measurement,which is inconsistent with the electrodynamics similitude deducted according to the Maxwell’s equations.Based on the high-frequency estimation method of physical optics(PO),a scaled RCS measurement method for lossy objects is proposed through dynamically matching the reflection coefficients according to the distribution of the object facets.Simulations of the model of SLICY are conducted,and the inversed RCS of the lossy prototype is obtained using the proposed method.Comparing the inversed RCS with the calculated results,the validity of the proposed method is demonstrated.The proposed method provides an effective solution to the scaled RCS measurement for lossy objects in the THz band.

Recognition of Multifunctional Coded Target in Single-camera Mobile 3D-vision Coordination Measurement

Single-camera mobile-vision coordinate measurement is one of the primary methods of 3D-coordinate vision measurement, and coded target plays an important role in this system. A multifunctional coded target and its recognition algorithm is developed, which can realize automatic match of feature points, calculation of camera initial exterior orientation and space scale factor constraint in measurement system. The uniqueness and scalability of coding are guaranteed by the rational arrangement of code bits. The recognition of coded targets is realized by cross-ratio invariance restriction, space coordinates transform of feature points based on spacial pose estimation algorithm, recognition of code bits and computation of coding values. The experiment results demonstrate the uniqueness of the coding form and the reliability of recognition.

A deformation measurement method based on surface texture information of rocks and its application

Users of the digital image correlation method are faced with the problem of poor operability,low repeatability,and lack of standardized specifications for spraying speckles.To solve the problem,the research proposed a rock deformation measurement method that obviates the need to spray speckles.A local binary model was established by using the local binary pattern(LBP)operator based on deep texture features on rock surfaces.The resulting LBP digital speckle pattern can substitute artificial speckle patterns and demonstrates high quality and strong applicability.Based on the LBP digital speckle pattern,the target tracking algorithm was employed to achieve non-contact measurement of the dynamic displacements of rocks.The feasibility and effectiveness of the algorithm in practical application were verified by conducting shear tests on granite and siltstone.Test results show that the deformation characteristics in the displacement nephograms are in line with the measured data pertaining to rock fracturing and conform to the basic characteristics of the shear failure of rocks.The deformation measurement method based on surface texture information can realize non-contact displacement measurement of rocks under conditions without speckles:this obviates the influence of the quality of sprayed speckles on the accuracy of the measurement of deformation.

Activation measurement of neutron distribution in intermediate energy heavy ion target area

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一种应用于大尺寸测量系统的坐标系自动标定方法

针对现有方法在标定过程中过于繁琐的问题,提出了一种应用于大尺寸测量系统的坐标系全自动标定方法。该方法通过固定两个在测量单元局部坐标系已知坐标的测量节点作为标记靶,测量单元之间相互测量彼此的标记靶获得标记靶上的测量点在不同坐标系下的坐标值,利用这些坐标值建立三维几何约束,从而自动标定不同坐标系之间的坐标转换关系。借助于精密激光定位系统平台进行实验验证,结果表明,所提方法可以实现测量单元局部坐标系之间的自动标定,降低了坐标系标定过程中的人工成本。在距离测量单元布站区域约2 m,大小为5 000 mm×5 000 mm×500 mm的测量空间中长度测量的精度在0.46 mm/m以内,测试点三维坐标测量的标准偏差在0.026 mm以内,可以满足绝大部分工业测量的需求。该方法极大的提高了系统的标定效率,有望为具有自动标定功能的大尺寸测量设备的产品化提供新的理论基础。

基于视频的振动测量技术研究进展

振动测量是保障结构安全和良好状态的基本手段。高精度的振动测量可为结构设计、安装调试、健康管理等振动试验提供精确的输入与响应测试。相较于传统的振动测量手段,基于视频的振动测量技术将相机的全部像素转化为高精度振动传感器,利用视频图像方式让人们肉眼可视结构在物理世界的真实振动形态,具有非接触、全视场、高空间分辨率、灵活方便等优点,近年来受到业界的广泛关注。该文主要介绍了视频振动测量技术的系统构成与测量过程、当前主要方法和相关技术最新进展,并总结了视频振动测量技术与其他技术相比存在的优势。通过分析与对比,肯定了视频方法是解决振动测量问题的有效手段和对传统测量方法的有力补充,随着相关技术和硬件设备的发展,视频振动测量方法将具有越来越大的研究意义和应用价值。

非线性量测下的机动多目标跟踪

为了解决非线性量测下机动多目标跟踪实时性差、跟踪误差大以及对杂波变化鲁棒性较差的问题,基于随机有限集理论,提出了一种采用量测转换和模糊算法改进的多模型δ-广义标签多伯努利滤波器。首先,推导了交互多模型的δ-GLMB滤波器,通过去相关无偏量测转换实现位置量测从极坐标系到笛卡尔坐标系的无偏转换,并通过预测值去除量测误差和其协方差的相关性造成的滤波估计偏差,实现了非线性场景下的机动多目标跟踪;然后,通过航迹和量测的关联新息以及目标的机动约束构建联合波门,降低了杂波量测的数量;最后引入改进的模糊算法,以目标的模型后验概率为输入,根据模型的分离程度自适应调节运动模型的过程噪声,增加滤波精度。研究结果表明:在杂波环境下,通过与CKF-JMS-δ-GLMB、CKF-IMM-δ-GLMB等非线性多模型滤波器对比,所提算法计算时间较小,且跟踪精度更高,鲁棒性强。所提算法避免了传统的非线性处理方式计算量较大的问题,并且具有较好的杂波抑制特性,提升了非线性量测下机动多目标跟踪的性能。

不均匀光照下的合作目标图像分割方法

针对复杂光照条件下目标测量中,合作目标图像很难被快速、准确分割这一难题,将模糊积分引入图像分割领域,改进传统的局部自适应阈值算法。首先,采用面积求和表(SAT)算法求出合作目标图像的积分图像;其次,根据模糊测度和所选择的离散模糊积分公式计算模糊积分图像;最后,根据模糊积分图像计算每个像素点的阈值,对原图像进行二值化。实验结果表明,改进后的基于模糊积分的局部自适应阈值算法分割的平均结构相似性(SSIM)指标相较于改进前普遍提升了10%~30%,分割效率大幅提升,最终成功地分割合作目标图像。

基于血清学指标构建H型高血压患者MACE发生风险预测模型

目的探讨H型高血压患者不良心血管事件(MACE)发生的危险因素,并构建H型高血压患者MACE发生风险预测模型。方法选取2019年1月至2022年11月该院收治的375例H型高血压患者作为研究对象,根据是否发生MACE分为MACE组(41例)和非MACE组(334例)。收集两组临床资料,采用多因素Logistic回归分析H型高血压患者发生MACE的危险因素。构建H型高血压患者MACE发生风险的列线图预测模型,以C-index量化模型预测性能,并绘制校准曲线评价列线图预测模型的校准度及鉴别效度,绘制决策曲线分析列线图预测模型的临床净受益。结果MACE组高血压病程、同型半胱氨酸(Hcy)、尿酸(UA)、Toll样受体(TLR4)水平及靶器官损害数目>2个的患者比例、高血压分级为3级的患者比例、入院当日收缩压(SBP)、入院当日舒张压(DBP)、夜间平均SBP、夜间平均DBP均高于非MACE组,高分子量脂联素(HMW-ADP)水平低于非MACE组,差异均有统计学意义(P<0.05)。多因素Logistic回归分析结果显示,夜间平均SBP、Hcy、TLR4水平升高及HMW-ADP水平降低均是H型高血压患者发生MACE的危险因素(P<0.05)。列线图预测模型预测H型高血压患者MACE发生风险的C-index为0.821(95%CI:0.712~0.896)。决策曲线分析结果显示,当列线图预测模型预测值为0.75~0.80时,可提供附加临床获益。结论基于Hcy、TLR4、HMW-ADP、夜间平均SBP构建H型高血压患者MACE发生风险的列线图预测模型具有良好预测效果,适合在临床工作中推广应用。

基于光学测量技术的目标姿态测量方法研究

该系统主要用于测量飞行器落入目标点时的姿态信息。论文对两种姿态测量方法进行比较,通过误差分析和实验,证明矩方法在用于提取图像中小目标时可以获取比较精确的姿态测量值。

宿迁市河流生态水位管控目标与预警机制分析

针对宿迁市近年水环境保护与水生态修复实践,阐述了宿迁市开展的第一批及相关重要河道生态水位制定情况与实施政策,分析了河道生态水位管理的工程调度原则与预警机制方案设计等技术内容,提出了河道生态水位管控目标保障措施。相关技术方法对构建完善的生态水位目标管控长效机制,提升宿迁市河湖水生态环境质量具有重要决策参考价值。

基于贝叶斯滤波理论的目标命中概率估计与判决方法研究

为了降低兵器试验中目标命中概率指标的判决错误率,提出了基于贝叶斯滤波理论的目标命中概率估计和判决方法。该方法构建了目标命中概率与试验观测数据的统计数学模型,依据贝叶斯滤波理论推导了目标命中概率后验概率密度函数、后验均值估计以及均方误差的解析表达式,并给出了基于目标命中概率后验均值估计的判决方法。依据不同的真实目标命中概率生成观测数据,分别利用传统方法和所提方法进行了估计和判决试验。结果表明:所提方法判决错误率仅为传统方法的1/3,证明所提方法具有可行性。

一种余光目标深度及高度的单帧图像测量

在自动避障,目标监控,自动驾驶等领域,基于单目视觉的目标测量总是关键技术之一.但是,已知的单目视觉测量方法只能得到目标的距离和最低点位置坐标,目标高度需要利用其他传感器获取.本文从目标的线特征出发,创造性的提出了关于余光目标像与像平面竖直中线的夹角、余光目标偏离单目相机装置的角度以及单目镜头的俯仰角三个变量之间的关系模型.最后,在单帧目标图像和单目相机的高度已知的情况下,利用该模型实现余光目标深度和高度的测量.实验结果表明,本文提出的测量方法能有效,快速的对目标的高度和距离进行测量.

视觉跟踪多转子位移测量

针对当前传统振动传感器在测量旋转体位移时受限于安装和测点数量等问题,将高速工业相机作为采集媒介,在转子振动试验台上进行转子振动视频的采集,并利用基于多目标跟踪的视觉振动测量方法跟踪多个转子目标的全场振动位移。将注意力机制引入残差神经网络,结合特征金字塔网络结构建立改进的特征提取骨干网络,并利用身份重新识别方法来强化相邻帧间目标位移的关联性,跟踪旋转体全场振动位移信号。在转子振动位移测量数据集上对不同网络模型进行定性和定量的比较。结果表明,本文构建的网络模型在边界框回归时能够获取更为紧密的贴合度;将采集的电涡流位移信号作为标准量进行两个转子位移信号的对比实验,结果表明,本文多目标跟踪算法拟合的波形和频谱噪声最小,且能与电涡流信号相匹配;在目标对象模糊情况下的实验也证明本文算法所具有的泛化性能,这也体现出视觉测量在旋转体振动位移跟踪领域的工程应用价值。

多功能旋转靶装置研究

针对D-D中子发生器采用静态水冷靶时中子产额不稳定、中子产额持续下降等主要问题,研制了一套多功能紧凑型旋转靶装置。装置采用一体化设计,结构紧凑、尺寸小,具备靶体高速旋转和水冷、靶点可视化监测、靶面温度实时测量、中子产额实时监测等功能。本文介绍了该装置的主体结构、功能设计和性能测试,以及靶结构对中子散射影响的模拟计算。性能测试结果表明,该装置真空度满足加速器运行要求,相比静态水冷靶,束流靶点中心最高温度明显降低,中子产额稳定度明显提高。模拟计算结果显示中子能谱峰展宽范围为0~0.0577 MeV,散射中子占比为10.53%~26.75%。本文还针对模拟计算结果和测量结果中存在的问题进行了分析,提出了改进和优化方案。