Substitution of satellite-based land surface temperature defective data using GSP method

Land surface temperature (LST) as an important environmental variable provides valuable information for earth environmental system modelling. Currently, LST is obtained through satellite thermal sensors at various spatial and temporal resolutions. Although spatially continuous satellite-based LST measurements are intended to overcome the shortcomings of sparse ground-based LST measurements, LST images often contain anomalous values due to the existence of clouds or sensor malfunctioning. The problem becomes more serious where the users deal with high spatial resolution characterized by low temporal resolution. This study examines the capability of a newly developed graph signal processing (GSP) method using two-dimensional single-date thermal data. For this purpose, four Landsat/TIRS datasets are analyzed. The data of five elliptical regions on thermal images are eliminated and then reconstructed through the GSP method and using the LST values of the enclosing rectangles containing the ellipsoids. The results indicate that the temperature variation determined by the GSP method generally conforms to the original image LST values. According to a correlation test conducted on the original image LST and those obtained through the GSP method, the values vary from 58% to 95%, which is an above-the-average rate (RMSE from 0.69 to 2.27). The statistical analysis of the original image LST in both the elliptical regions and the enclosing rectangles containing the ellipsoids indicates that an increase in the variance of LST data causes an increased error in the calculation of temperature by the GSP method, and vice versa. The results of the analysis of variance (ANOVA) and Duncan test indicated that an increase in the number of the non-zero spectral bins would result in increased RMSE values for all the dates and the regions. Moreover, the model errors were significant at the 0.05 level across all the image date and five elliptical study regions. Based on the results, the use of this method is recommended for the reconstruction of LST missing values, where dissimilarity of atmospheric conditions limits the use of other methods that depend on the time series data of various dates and a great deal of data calculation.     

几种新型的星载多光谱和成像光谱仪

近几年出现了几种新型的星载多光谱和成像光谱仪,例如:Landsat-7卫星的有效载荷增强型主题测绘仪+（ETM+）;EOS AM-1卫星的有效载荷多角度成像光谱仪（MISR）和先进空间热发射和反射辐射计（ASTER）;特殊探测器紫外成像光谱仪（SSUSI）。文章从结构、性能参数等方面综述了这几种星载成像光谱仪。     

炮击振动试验谱的预计

 <正> 军用飞机机炮附近区域,最严重的振动环境主要是射击时传递到飞机主要结构上的冲击压力脉冲所诱导的强烈振动场所引起的。这种环境,随着距炮口距离的增加,其作用明显减弱。距炮口2 m半径范围内敏感的机载设备受炮击振动影响较大,2 m半径以外炮击振动的量值衰减很快。炮击振动试验谱一般是根据炮击实测数据经分析归纳后提供的。对于新研制的飞机来说,在方案论证阶段和初步设计阶段,在无实测数据的情况下,只能根据有关规范进行估算和参考原准机的经验修正,给出初步的炮击振动试验谱。     

加入增益介质的F-P干涉仪和衍射光栅光谱仪的光谱特性对比

对加入增益介质的F—P干涉仪的光谱特性与衍射光栅光谱仪的光谱特性作了定量对比。结果表明，加入增益介质的F—P干涉仪的光谱特性要明显优于衍射光栅光谱仪的光谱特性。这为光谱精细结构分析提供了更为理想的选择。     

功率谱密度(PSD)在评价超精密光学表面中的应用研究

用原子力显微镜对不同工艺下获得的超光滑反射镜基片进行了功率谱密度(PSD)检测,并对结果进行分析,以指导光学元件加工。     

基于图形变形法的固体火箭发动机优化设计

基于图形变形法探索固体火箭发动机优化设计空间，通过可视化展示设计空间形态，能够提高固体火箭发动机优化设计效率和质量。采用试验设计方法对设计变量和约束条件重要性进行排序，简化优化模型；采用图形变形法对简化优化模型在不同试验设计点进行可视化分析；可视化选取可行设计空间中目标函数较小的点作为初始点。应用三种常规优化算法对4个不同初始点进行优化计算，计算结果表明，图形变形法优选的初始点使优化效率有不同程度的提高，优化结果具有更好的全局最优解特性；与遗传算法比较，效率提高400倍以上。     

自适应DBF与空间谱估计

讨论了自适应数字波束形成(DBF)技术和超分辨空间谱估计技术,并提出了一种基于信号协方差矩阵特征分解的时-空二维信号高分辨谱估计算法。以上技术应用于相控阵雷达系统,可以精确获得多个运动目标的方位信息和多普勒信息。文章最后给出了计算机模拟结果。     

基于脑电功率谱密度的作业人员脑力负荷评估方法

脑力负荷状态的准确识别对减少因作业人员无效脑力负荷导致的人因事故具有重要意义。针对人-机系统中作业人员脑力负荷客观评估问题开展了基于MATB-Ⅱ平台的3种不同脑力负荷水平下的航空情境实验，记录16名被试的NASA任务负荷指数（NASA-TLX）量表数据和脑电（EEG）信号，提出了一种基于脑电功率谱密度（PSD）和支持向量机（SVM）的个体脑力负荷评估方法。结果表明：随着实验设计脑力负荷水平增加，被试的主观脑力负荷得分显著提高（p<0.001），这表明该实验任务设计较好地诱发了低负荷、中负荷和高负荷情境。在此基础上，通过网格搜索法确定个体脑力负荷评估模型的统一优化参数，惩罚系数取3 000，核函数参数取0.000 1，模型测试正确率达到0.966 5±0.029 8，宏平均的受试者工作特征曲线下的面积（Macro-AUC）达到0.991 0±0.011 4。本文为作业人员脑力负荷状态的客观和准确评估提供了一种新的办法，为后期作业人员脑力负荷状态的实时判别提供模型基础。     

Abnormal changes of dynamic derivatives at low reduced frequencies

A number of studies have found that abnormal changes of dynamic derivatives occurred at very low reduced frequencies, but its inducement mechanism is not very clear. This paper has researched the abnormal changes and analyzed the influence on some parameters by solving the unsteady flow around forced oscillation airfoils based on Navier-Stokes equations. Results indicate that when the reduced frequency approaches to zero, the dynamic derivatives obtained by the numerical method will diverge. We have also proven it in theory that this phenomenon is not physical but completely caused by numerical singularity. Furthermore, the abnormal phenomenon can be effectively mitigated by using the time spectral method to solve the aerodynamic forces and the integral method to obtain the dynamic derivatives. When the reduced frequency is in the range of 0.001–0.01, the dynamic derivative maintains nearly unchanged for the whole speed region. This study can provide a reference for the reasonable choice of the reduced frequency in calculations and experiments of dynamic derivatives.     

一种基于数值计算的轴流压气机旋转失速稳定性模型——之一:理论模型及算法分析

本文提出了一个基于直接数值计算结果基础上的旋转失速线性稳定性模型,描述了如何从基本的Navier－Stokes方程出发,把轴流压气机流动稳定性问题转化为一个特征值问题的基本理论框架。对压气机不稳定边界的判断通过计算和检验特征值的方式来实现。本文给出了有限差分法和基于Gauss－Lobatto节点的谱配置方法两种数值离散的方式,并分析了这两种离散方式的收敛特性。