带有误差的广义压缩映射迭代序列的收敛阶

Liu Qihou提出了度量空间中带有误差的迭代序列的定义，并研究了迭代序列的收敛性。严格分析了完备度量空间中带有误差的两类广义压缩映射迭代序列的收敛速度，得到了迭代序列收敛阶的最佳估计，这些结果在近似计算中可用于估计不动点的大致范围以及根据精度要求确定迭代次数。     

基于思维导图方法的复合材料中介机匣设计

为了进一步降低中介机匣质量,达到下一代航空发动机总体给定的质量指标,应用复合材料对现有的全钛合金中介机匣进行改进结构设计。在目前中国复合材料性能与国际先进水平尚有一定差距的情况下,利用思维导图方法对中介机匣的功能和主要结构特征以及主要限制条件进行了详细分析,从工程实际角度出发,确立了复合材料中介机匣的结构设计准则,运用次要承力部位上使用复合材料的结构设计手段,完成了复合材料中介机匣的结构设计,实现了中介机匣减质约8%的目标,满足了总体指标要求。     

基于先验子图检测的失效航天器SLAM方法

基于激光雷达的航天器位姿估计技术是当前在轨服务研究热点。针对失效航天器位姿估计,将通用的图优化SLAM技术应用到空间非合作目标的研究中。为解决SLAM算法在动态场景中产生累积误差问题,利用失效航天器自身运动特点,提出一种基于先验子图检测改进的SLAM算法。在该算法中,通过激光雷达和惯性测量单元分别采集失效航天器及周围环境的点云数据、服务航天器的运动信息,构建出服务场景下航天器的相对位姿图;再采用先验子图检测方法建立不连续的位姿节点间的约束关系;最后用约束信息对位姿图进行优化。仿真结果表明,相较于通用的SLAM算法的位姿估计,该方法减小了累积误差,提高了相对位姿估计精度,可以为后期的导航、控制等在轨任务提供信息。     

涡轮非定常流数值计算方法研究

在实际叶片排几何模型不变的条件下,采用交接面周期性处理方法可大大缩小非定常流计算域,减小计算量,但该处理方法会给非定常流计算带来一些近似,通过某跨声速涡轮级三维粘流数值计算,分析和评估计算方法,结论是该方法不改变时间平均下的稳态性能参数,而且可用于多级涡轮非定常流计算.      

基于边界的无人机主动SLAM算法

同步定位与地图构建技术是无人机实现真正自主导航的关键。为克服被动同步定位与地图构建算法的缺陷,研究了基于边界的无人机主动同步定位与地图构建算法。在无人机的探测区域周围产生候选边界点,通过建立合理的目标函数,从候选边界点中选择目标点,控制无人机朝该目标点方向运动,再运用扩展卡尔曼滤波算法更新无人机的运动状态。通过建立的无人机简化模型,对提出的算法和随机同步定位与地图构建算法进行对比研究,仿真结果表明该算法是有效可行的。     

Glacier mapping based on rough set theory in the Manas River watershed

Precise glacier information is important for assessing climate change in remote mountain areas. To obtain more accurate glacier mapping, rough set theory, which can deal with vague and uncertainty information, was introduced to obtain optimal knowledge rules for glacier mapping. Optical images, thermal infrared band data, texture information and morphometric parameters were combined to build a decision table used in our proposed rough set theory method. After discretizing the real value attributes, decision rules were calculated through the decision rule generation algorithm for glacier mapping. A decision classifier based on the generated rules classified the multispectral image into glacier and non-glacier areas. The result of maximum likelihood classification (MLC) was used to compare with the result of the classification based on the rough set theory. Confusion matrix and visual interpretation were used to evaluate the overall accuracy of the results of the two methods. The accuracies of the rough set method and maximum likelihood classification were compared, yielding overall accuracies of 94.15% and 93.88%, respectively. It showed the area difference based on rough set was smaller by comparing the glacier areas of the rough set method and MLC with visual interpreter, respectively. The high accuracy for glacier mapping and the small area difference for glacier based on rough set theory demonstrated that this method was effective and promising for glacier mapping.     

代数基本定理的拓扑证明

使用同调群和映射度等工具，给出代数基本定理的两种拓扑证明。     

收缩段出口型式对水槽流场品质的影响

研究了收缩段出口顶壁型式对表面波的影响,得到了最佳的出口设计,并分析了满流和明流情况下,流场速度,湍流等澡程的发展变化。     

基于FC-1394的空间载荷试验信息系统设计

IEEEl394是一种具有支持等时传输和异步传输的特点的高速串行数据总线,目前已在航天器载荷试验数据传输中得到良好应用,但在未来大型空间飞行器载荷试验信息传输的应用中仍存在重量功耗开销大、传输距离和速率有限等问题.光纤通道作为一种具有良好兼容性、可靠性高、低时延、传输距离远和传输速率高等优点的先进总线技术,可为上层协议提供通用的高速率数据传输通道.基于IEEEl394和光纤通道的基本特性,给出了一种适用于空间载荷试验信息系统的FC-1394桥接方案,并为基于IEEE1394和光纤通道协议映射的空间信息系统数据网络互连提供了一种解决方案.     

Comparison of Landsat OLI,ASTER, and Sentinel 2A data in lithological mapping : A Case study of Rich area (Central High Atlas,Morocco)

The eastern part of the Rich area consists of the massive Paleozoic and Meso-Cenozoic cover formations that present the geodynamic development of the study area, where is characterized by various carbonate facies of Jurassic age. The geographical characteristic of the study area leaves the zone difficult to map by conventional methods. The objective of this work focuses on the mapping of the constituent lithological units of the study area using multispectral data of Landsat OLI, ASTER, and Sentinel 2A MSI. The processing of these data is based on a precise methodology that distinguishs and highlights the limits of the different lithological units that have an approximate similarity of spectral signature. Three techniques were used to enhance the image including Principal Component Analysis (PCA), Minimum Noise Fraction (MNF), and Independent Component Analysis (ICA). Lithological mapping was performed using two types of supervised classification : Maximum likelihood classifier (MLC) and Support Vector Machine (SVM).The results of processing data show the effectiveness of Sentinel 2A data in mapping of lithological units than the ASTER and Landsat OLI data. The classification evaluation of two methods of the Sentinel 2A MSI image showed that the SVM method give a better classification with an overall accuracy of 93,93% and a Kappa coefficient of 0.93, while the MLC method present an overall accuracy of 82,86% and a Kappa coefficient of 0.80. The results of mapping obtained show a good correlation with the geological map of the study area as well as the efficiency of remote sensing in identification of different lithological units in the Central High Atlas.