电阻阵红外景象投影仪非均匀性校正方法学

电阻阵红外景象投影仪是红外成像制导系统和前视红外系统等红外探测系统性能测试、评估和系统动态仿真的重要装置。但是其严重的辐射非均匀性限制了它的应用范围。因此,必须要进行校正。本文对非均匀性校正的方法学进行研究,综述几种有效的校正方法及其实施过程。     

Restraint Method for Overcoming Heating Irregularity and Improving Heating Equipment Efficiency for Beverage Cans Using High‐Frequency Induction Heating

We were able to reduce heating irregularities in equipment for heating beverage cans by using the high‐frequency induction heating method and determining the resulting improvement in the heating efficiency. The heating irregularity between the top and bottom of the can was reduced to less than 3°C by improving the arrangement of the heating coils for the beverage can by thinning the winding and changing the circuit configuration. The efficiency of power conversion was improved from 93.0% to 97.4%. In this paper, the configuration of the equipment and the experimental results are reported.     

泥岩顶板巷道围岩裂隙演化规律与冒顶机理分析

通过对某矿泥岩顶板巷道围岩变形进行监测,总结该类巷道变形破坏的一般规律;借助钻孔窥视的手段对不同含水条件下泥岩顶板围岩的裂隙演化规律和破裂特征进行分析,在此基础上,研究泥岩顶板巷道冒顶的机理。研究表明：围岩裂隙是由浅部向深部逐渐扩散的,裂隙发育存在饱和现象;有效控制围岩微裂隙区向裂隙发育区演化,避免裂隙发育区发展到锚固区之外是保证富水泥岩顶板巷道稳定的关键。据此建立了分顶、分区的围岩控制技术体系,包括高性能锚杆支护技术、预应力锚索强化技术以及注浆加固技术,并成功地应用于工程实践。     

基于场景自适应收敛非均匀性校正方法

收敛问题是基于场景非均匀性校正算法的一个共性问题,提出了一个能够自适应收敛的非均匀性校正算法,该算法的一个特点是只对非均匀性空间频率的高频部分进行处理,详细论述了该处理的优点,同时还提出了一个控制收敛速度的因子,使得算法的收敛速度根据场景的动态范围自动调整,这将很大程度的改善基于场景非均匀性校正算法收敛特性,最后通过实...     

基于配准的红外焦平面阵列条纹非均匀性校正

条纹非均匀性是线扫红外焦平面阵列和非制冷凝视型红外焦平面阵列成像系统中一种特殊的固定图案噪声.分析了其产生的原因,提出了一种基于亮度恒定假设和配准的条纹非均匀性校正算法.根据相邻两帧获得亮度均方误差函数,最后通过最小化全局亮度均方误差函数得到全局最优解作为非均匀性校正的参数.实验结果表明,该算法能够在几帧内达到较好的收...     

基于辐射亮度反演的TDI CCD相机的响应非均匀性校正

分析了TDI CCD的各种噪声,重点研究了响应非均匀性和固定图形噪声对成像质量的影响,通过辐射亮度反演的方法对响应非均匀性进行了校正。实验结果表明,该校正方法能够有效去除响应非均匀性造成的条纹,得到清晰的图像。     

基于非局部均值滤波与神经网络的红外焦平面阵列非均匀性校正算法

深入剖析传统神经网络非均匀性校正方法收敛速度慢以及易产生"鬼影"现象的主要原因,在此基础上,提出一种基于非局部均值滤波和神经网络的红外焦平面阵列非均匀性校正算法。为了加快收敛速度并减少"鬼影"现象,在神经网络隐含层,利用具有全局寻优且能保持边缘的非局部均值滤波器代替传统的均值滤波器以估计具有更高置信度的真值影像;同时设计可变学习率来自适应地调整每个探测元的非均匀性校正参数的迭代更新过程,以进一步消除"鬼影"。采用两组分别受高空间频率和低空间频率非均匀性干扰的真实红外序列图像进行实验。实验结果表明:相较于目前已有的方法,本文方法不仅具有较快的收敛速度,而且较大程度上抑制了"鬼影"现象的发生。     

基于神经网络的改进型红外图像自适应非均匀校正算法

针对传统的基于神经网络的自适应非均匀性校正(Neural-Network-based Non-Uniformity Correction, NN-NUC)算法在 实际应用中存在校正能力有限和容易产生鬼影的问题,深入分析了NN-NUC算法中的鬼 影产生过程,并给出了抑制鬼影的一般性方法;然后结合实际红外成像系统的特点,提出 了一种改进型NN-NUC算法。仿真实验结果表明,该算法可以最大限 度地抑制场景鬼影的产生,并可有效减小系统输出图像的非均匀性噪声。此外,本文算法 计算量小,且易于用硬件实现,因此具有很好的工程应用价值。     

MATHEMATICAL MODELLING AND APPARATUS ARRANGEMENTS OF DEEP DRYING PROCESS OF GRANULAR POLYMERS

ABSTRACT

A computer - aided analysis is made of the factors influencing the kinetics of the continuous deep drying of granular polymers on the basis of a two-level mathematical model. In terms of the lower (microkinetic) level, which deals with the drying of separate granules, consideration is given to the accuracy of determining the moisture diffusion coefficients in polymers as functions of temperature and concentration D=f(U,t). The expedience of employing the solution of linear and non-linear differential diffusion equations in microkinetic calculations is also considered. In terms of the macrokinetic level, which takes account of the influence of the hydrodynamic and heat-and-mass transfer drying conditions in the dryer, a numerical study is undertaken of how the kinetics is influenced by the granules’ dimension nonuniformity and by the difference in the granules’ residence time in the dryer. The results are graphically presented in generalised variables. The travel of 12 granular polymers in the shaft (column) dryers is experimentally studied depending on definite determining parameters. Accordingly, some recommendations aimed at ensuring the uniform drying are given. Presented are also the experimental results on the longitudinal mixing for different polymers for a continuous shaft dryer with a ring material layer and with the drying agent performing the radial motion. The findings make it possible to determine the mixing rate and to outline some practical recommendations. The investigations carried out allow one to find the rational construction of the dryer for the deep drying of granular polymers and to refine the kinetic calculations.