中国无地面控制点摄影测量卫星追述（一）——返回式摄影测量卫星

以无地面控制点条件下的摄影测量为背景,回顾了中国第一代、第二代返回式摄影测量卫星的研制历程,给出了相机的主要技术参数,介绍了研制的技术难点。从地形图制作精度的角度评价了中国第一代、第二代返回式摄影测量卫星的技术水平,给出了制作的立体影像图和等高线图。最后,与美国、俄罗斯（前苏联）、欧空局同类型的返回式卫星进行了比较。     

中国遥感卫星系统灾害监测能力研究

通过研究、归纳中国在气象、海洋、农业、减灾、资源、环境等方面的九类重大自然灾害的监测对空间遥感的应用需求,绘出了九类重大自然灾害在时间分辨率和空间分辨率上的相应分布图;介绍了中国遥感卫星系统的发展现状,绘制其对九类重大自然灾害监测的能力满足度曲线,在此基础上,预测了中国未来遥感卫星系统的灾害监测能力包线应具有的能力,提出了中国未来遥感卫星系统的能力配置及发展建议。     

Assessment of the impact of dimensionality reduction methods on information classes and classifiers for hyperspectral image classification by multiple classifier system

Identification of the appropriate combination of classifier and dimensionality reduction method has been a recurring task for various hyperspectral image classification scenarios. Image classification by multiple classifier system has been evolving as a promising method for enhancing accuracy and reliability of image classification. Because of the diversity in generalization capabilities of various dimensionality reduction methods, the classifier optimal to the problem and hence the accuracy of image classification varies considerably. The impact of including multiple dimensionality reduction methods in the MCS architecture for the supervised classification of a hyperspectral image for land cover classification has been assessed in this study. Multi-source airborne hyperspectral images acquired over five different sites covering a range of land cover categories have been classified by a multiple classifier system and compared against the classification results obtained from support vector machines (SVM). The MCS offers acceptable classification results across the images or sites when there are multiple dimensionality reduction methods in addition to different classifiers. Apart from offering acceptable classification results, the MCS indicates about 5% increase in the overall accuracy when compared to the SVM classifier across the hyperspectral images and sites. Results indicate the presence of dimensionality reduction method specific empirical preferences by land cover categories for certain classifiers thereby demanding the design of MCS to support adaptive selection of classifiers and dimensionality reduction methods for hyperspectral image classification.     

Impact of the orbital eccentricity on the attitude performance before and after the deorbiting phase for Alsat-1

Due to the presence of periodic forcing terms in the gravity gradient torque, orbit eccentricity may produce large response for the roll, yaw and pitch angles. This paper investigates the influence of the orbit eccentricity on the performance of the attitude determination and control subsystem (ADCS) pointing of passive Low Earth Orbit (LEO) satellites stabilized by a gravity gradient boom or having long appendages before and after the deorbiting operation. The contribution of this work is twofold. First, the satellite attitude dynamics and kinematics are modeled by introducing the orbit eccentricity in the equations of motion of a LEO satellite in order to provide the best scenario in which satellite operators can keep the nominal functionality of LEO satellites with a gravity gradient boom after the deorbiting operation. Second, a Quaternion-based Extended Kalman Filter (EKF) is analyzed when the orbit eccentricity is considered in order to determine the influence of this disturbance on the convergence and stability of the filter. The simulations in this work are based on the true parameters of Alsat-1 which is a typical LEO satellite stabilized by a gravity gradient boom. The results show that the orbit eccentricity has a big influence on the pointing system accuracy causing micro-vibrations that affect the geocentric pointing particularly after the deorbiting phase. In this case, satellites have no orbital correction option. The Quaternion-based Extended Kalman Filter analyzed in this paper, achieved satisfactory results for eccentricity values less than 0.4 with respect to pointing system accuracy. However, singularities were observed for eccentricity values greater than 0.4.     

Characterization of lunar soils through spectral features extraction in the NIR

Recently launched hyper-spectral instrumentation with ever-increasing data return capabilities deliver the remote-sensing data to characterize planetary soils with increased precision, thus generating the need to classify the returned data in an efficient way for further specialized analysis and detection of features of interest. This paper investigates how lunar near-infrared spectra generated by the SIR-2 on Chandrayaan-1 can be classified into distinctive groups of similar spectra with automated feature extraction algorithms. As common spectral parameters for the SIR-2 spectra, two absorption features near 1300 nm and 2000 and their characteristics provide 10 variables which are used in two different unsupervised clustering methods, the mean-shift clustering algorithm and the recently developed graph cut-based clustering algorithm by Müller et al. (2012). The spectra used in this paper were taken on the lunar near side centering around the Imbrium region of the Moon. More than 100,000 spectra were analyzed.     

临近空间大气压力传感器现场校准装置研究

本文针对临近空间大气压力传感器现场校准需求,介绍了临近空间大气压力传感器现场校准装置工作原理, 进行理论分析与仿真,提出需突破的关键技术,给出了不确定度预估。     

航天器测控资源调度模型及算法

航天器测控资源调度问题研究的目的是通过一定的调度方法科学地分配有限的地面测控资源和最大化地完成航天器测控任务。在参考面向任务执行计划的航天器测控资源调度模型研究的基础上,文章提出了面向可见窗口的航天器测控调度模型,并给出了问题的确定性分支定界求解算法及其计算复杂度分析。最后,通过仿真计算验证了算法的有效性和实用性。     

基于偏置角动量的欠驱动航天器姿态保持控制

对有扰情况下欠驱动航天器三轴姿态保持控制问题进行了研究,提出一种基于俯仰偏置动量轮和滚动轴推力器的姿态保持控制方法。该方法基于偏置动量航天器滚动-俯仰轴耦合的原理实现,避免了欠驱动零动量航天器平衡点附近欠驱动轴耦合弱的问题;将航天器的姿态运动分为长周期运动和短周期运动,用极点配置方法进行控制律设计,给出保证系统稳定的参数选取范围,求出了系统稳态误差。最后,通过数值仿真验证了所设计的控制器不但能快速消除初始姿态偏差,而且能抵抗外干扰将航天器姿态保持在平衡点附近。     

适用于月面高温环境的嫦娥三号地形地貌相机热设计

“嫦娥三号暠月面探测器上安装的地形地貌相机工作时直接暴露在月面高温环境下,受月表红外辐射影响很大,给热控设计带来很大难题。为解决设备工作时的高温问题,在外热流分析的基础上提出了以“最佳散热位置暠为核心的热控方案,设备处于“最佳散热位置暠时能够获得较好的初始温度和最快的降温速率;另外通过把散热面布置在月表红外辐射热流最小的位置并在除散热面以外的其他表面包覆多层隔热组件这两个措施,可以最大程度减小月表红外辐射的影响。地形地貌相机在轨开机工作前的各飞行阶段遥测数据均满足存储温度指标要求并且有较大余量;开机工作环拍一周的遥测数据满足工作温度指标要求并且与热分析结果符合较好,初始温度与遥测温度数据偏差为-1灡7曟,温升速率和降温速率偏差分别为14灡9%和16灡9%。这表明该热控方案正确可行,可为后续中国深空探测类似热控问题参考。     

双轴模拟式太阳敏感器测试链误差分析及修正

基于四象限硅光电池,双轴模拟式太阳敏感器（简称双轴模太）可实现太阳矢量两轴方向角的同时测量。硅光电池各象限光生电流的采集精度直接决定了敏感器的工作性能。然而,测试链环节中存在的不一致性误差会引起双轴模太角度测量偏差。为此,基于数值仿真,分析并建立了硅光电池各象限响应率、各象限光生电流的电压转换、信号放大、A/D转换系数及暗电流等环节偏差的影响模型,进而对各环节的综合偏差进行标定和修正,从而在保证敏感器测量精度的同时,降低对测试链环节的要求。测试结果表明,在不改变测试链性能的情况下,双轴模太的测量精度由修正前的2.05° (α轴,3σ)和1.94° (β轴,3σ)提高到0.28° (α轴,3σ)和0.26° (β轴,3σ)。