一种基于先验知识的3D位姿参数识别方法

计算机视觉中用单幅照片来识别三维物体的六个自由度是非常困难的，但是，在知道一些先验知识的情况下，可以对物体的六个自由度进行识别。本文提出一种基于先验知识的三维位举参数识别的方法，使用物体上不共线的三个特征点及目标点来确定物体的位置和姿态，给出了六个参数的解析表达式，在实时处理中可以得到好的效果。     

A Test Method for the Static/Moving State of Targets Applied to Airport Surface Surveillance MLAT System

Due to the particularity of its location algorithm,there are some unique difficulties and features regarding the test of target motion states of multilateration(MLAT)system for airport surface surveillance.This paper proposed a test method applicable for the airport surface surveillance MLAT system,which can effectively determine whether the target is static or moving at a certain speed.Via a normalized test statistic designed in the sliding data window,the proposed method not only eliminates the impact of geometry Dilution of precision(GDOP)effectively,but also transforms the test of different motion states into the test of different probability density functions.Meanwhile,by adjusting the size of the sliding window,it can fulfill different test performance requirements.The method was developed through strict theoretical extrapolation and performance analysis,and simulations results verified its correctness and effectiveness.     

Improving orbit prediction accuracy through supervised machine learning

Due to the lack of information such as the space environment condition and resident space objects’ (RSOs’) body characteristics, current orbit predictions that are solely grounded on physics-based models may fail to achieve required accuracy for collision avoidance and have led to satellite collisions already. This paper presents a methodology to predict RSOs’ trajectories with higher accuracy than that of the current methods. Inspired by the machine learning (ML) theory through which the models are learned based on large amounts of observed data and the prediction is conducted without explicitly modeling space objects and space environment, the proposed ML approach integrates physics-based orbit prediction algorithms with a learning-based process that focuses on reducing the prediction errors. Using a simulation-based space catalog environment as the test bed, the paper demonstrates three types of generalization capability for the proposed ML approach: (1) the ML model can be used to improve the same RSO’s orbit information that is not available during the learning process but shares the same time interval as the training data; (2) the ML model can be used to improve predictions of the same RSO at future epochs; and (3) the ML model based on a RSO can be applied to other RSOs that share some common features.     

速率转台的角速率不确定度评定方法

利用不确定度的理论来评定速率转台的角速率不确定度。     

分布式数据采集控制系统的现状及发展趋势

综述了ＤＣＳ系统的形成，现状及今后的发展方向，阐明了应用远智能Ｉ／Ｏ改进ＤＣＳ系统的优越性及向ＦＣＳ系统的过渡。     

Co-registration of Chang’E-1 stereo images and laser altimeter data with crossover adjustment and image sensor model refinement

Topographic information is of fundamental importance for various scientific investigations in lunar and planetary exploration. To provide high-precision, seamless mapping capability, it is critical to co-register image and altimetry data, the two major data sources for topographic modeling. This paper presents a method for co-registration of Chang’E-1 (CE-1) stereo images and laser altimeter (LAM) data with crossover adjustment and refinement of the image sensor model. The crossover adjustment is tested in a larger area (0–60°N, 50–0°W); the image refinement and co-registration with LAM data are tested in an area (46.2–50.0°N, 31.8–28.8°W) within the larger area. Experimental results demonstrate that this co-registration reduces the mean differences of inconsistency from more than 200 m to just 3.21 m in the Z direction of object space. In image space, the mean errors of homologous points both in the column and row directions are reduced to below 0.1 pixel. This indicates that the proposed crossover adjustment of LAM data and refinement of the CE-1 stereo image model can effectively improve co-registration of the two data sets.     

基于航空货运网络结构的城市层级分析

航空货运网络是影响城市层级结构的重要因素之一,对其进行量化分析具有十分重要的理论和现实意义。根据2002—2008年中国航空货运数据库构建的中国航空货运网络,运用复杂网络分析的测度方法,以城市航空货运量比例为依据,将中国航空货运网络分成初始层级网络、中级层级网络和核心层级网络3个层次。基于航空货运网络视角,将中国通航城市分成核心、中级和边缘城市3类层级。通过对平均路径长度、聚类系数、度分布、密度等网络特征的分析,证明了3个层级城市所在的网络都具有小世界和无标度特性,研究表明中国城市层级结构具有金字塔特性,分布严重不均匀,值得关注。     

Fault rupture model of the 2008 Dangxiong (Tibet,China) Mw 6.3 earthquake from Envisat and ALOS data

On October 6, 2008, an Mw 6.3 earthquake occurred in Dangxiong county, southern Tibetan Plateau. In this study, Synthetic Aperture Radar (SAR) images from Envisat ASAR C-band descending Track 176 and ALOS PALSAR L-band ascending Track 500 are processed to generate the coseismic deformation caused by the earthquake. To estimate the source model, a downhill simplex non-linear inversion method is used to determine the fault rupture geometry, and an automatic fault discretization technique is employed to divide the fault plane to construct the optimal slip model, in which the uncertainties of the fault parameters are assessed by a Monte Carlo method. The inversion results show that the earthquake strikes almost south–north and has a normal faulting focal mechanism with rake angle and slip of −111.7° and 1.33 m, respectively. Peak slip of 2.15 m is located at a depth of 7.5 km. The estimated geodetic moment is 4.06 × 10¹⁸ N m (Mw 6.37), 71.2% of which is released in the depth range 4.5–11 km. The slip model suggests that coseismic slip also takes place at some fault patches near the earth’s surface and postseismic afterslip occurs below the coseismic rupture area after the earthquake.     

大尺寸测量系统配置中包络性与可达性分析

构建了包络性和可达性分析的原理与公式，定量判定当前测量设备空间位置是否合理，为实现在大尺寸测量方案规划阶段对测量设备的可行空间进行快速有效的规划提供依据。阐述了大尺寸测量系统总体架构与阶段任务划分，定义了包络性与可达性的输入输出关系。论述了包络性与可达性的原理与公式，包括可测量体素和外包络体的定义、数学模型和推导公式以及判定公式。最后，在CATIA环境下开发包络性和可达性分析工具，并以机翼翼肋为例，对该翼肋上待测关键特征进行包络性和可达性仿真分析。仿真结果表明，该包络性与可达性分析的原理与公式是可行的。     

力值加载校准系统误差补偿方法研究

针对飞机液压系统地面测试设备校准方法和校准装置欠缺的问题,为了提高飞机液压系统地面测试设备的测试性能和可靠性,设计了一套力值加载校准系统,该校准系统能够按着设置的参数输出精确的力值,实现对飞机液压系统地面测试设备的校准.满足了飞机液压系统地面测试设备对校准方法和校准装置的需求.