Image restoration of the asymmetric point spread function of a high-resolution remote sensing satellite with time-delayed integration

The calibration and validation team of the Korea Aerospace Research Institute has calibrated and validated the image data of the KOMPSAT-2 since the launch of KOMPSAT-2 on July 28, 2006. The asymmetric phenomenon of the point spread function of the KOMPSAT-2 image data is evident in both the along and the across direction, most likely because KOMPSAT-2 has a 1 m ground sample distance high-resolution camera with time-delayed integration. Furthermore, because KOMPSAT-2 is in space, the KOMPSAT-2 image data has been corrected with good results by means of modulation transfer function compensation.     

大型客机设计中的需求管理

介绍了需求开发和需求管理的基本概念,说明了需求捕获、需求分析、需求定义、需求确认以及需求管理的具体内容。结合大型客机的设计研制特点,阐述了在大型客机设计中开展需求管理工作的重要作用与意义,重点介绍大型客机需求管理流程定义、需求管理策略、需求确认与验证等内容。实践证明,在大型客机设计中实施需求管理工作、实现需求的规范化与精细化管理,可有效提高需求的正确性、完整性和协调性,并确保设计结果与需求之间的一致性,促进大型客机的研制、市场和商业成功。     

Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia

This paper presents the results of the cross-validation of a multivariate logistic regression model using remote sensing data and GIS for landslide hazard analysis on the Penang, Cameron, and Selangor areas in Malaysia. Landslide locations in the study areas were identified by interpreting aerial photographs and satellite images, supported by field surveys. SPOT 5 and Landsat TM satellite imagery were used to map landcover and vegetation index, respectively. Maps of topography, soil type, lineaments and land cover were constructed from the spatial datasets. Ten factors which influence landslide occurrence, i.e., slope, aspect, curvature, distance from drainage, lithology, distance from lineaments, soil type, landcover, rainfall precipitation, and normalized difference vegetation index (ndvi), were extracted from the spatial database and the logistic regression coefficient of each factor was computed. Then the landslide hazard was analysed using the multivariate logistic regression coefficients derived not only from the data for the respective area but also using the logistic regression coefficients calculated from each of the other two areas (nine hazard maps in all) as a cross-validation of the model. For verification of the model, the results of the analyses were then compared with the field-verified landslide locations. Among the three cases of the application of logistic regression coefficient in the same study area, the case of Selangor based on the Selangor logistic regression coefficients showed the highest accuracy (94%), where as Penang based on the Penang coefficients showed the lowest accuracy (86%). Similarly, among the six cases from the cross application of logistic regression coefficient in other two areas, the case of Selangor based on logistic coefficient of Cameron showed highest (90%) prediction accuracy where as the case of Penang based on the Selangor logistic regression coefficients showed the lowest accuracy (79%). Qualitatively, the cross application model yields reasonable results which can be used for preliminary landslide hazard mapping.     

Validation on MERSI/FY-3A precipitable water vapor product

The precipitable water vapor is one of the most active gases in the atmosphere which strongly affects the climate. China's second-generation polar orbit meteorological satellite FY-3A equipped with a Medium Resolution Spectral Imager (MERSI) is able to detect atmospheric water vapor. In this paper, water vapor data from AERONET, radiosonde and MODIS were used to validate the accuracy of the MERSI water vapor product in the different seasons and climatic regions of East Asia. The results show that the values of MERSI water vapor product are relatively lower than that of the other instruments and its accuracy is generally lower. The mean bias (MB) was ?0.8 to ?12.7?mm, the root mean square error (RMSE) was 2.2–17.0?mm, and the mean absolute percentage error (MAPE) varied from 31.8% to 44.1%. On the spatial variation, the accuracy of MERSI water vapor product in a descending order was from North China, West China, Japan -Korea, East China, to South China, while the seasonal variation of accuracy was the best for winter, followed by spring, then in autumn and the lowest in summer. It was found that the errors of MERSI water vapor product was mainly due to the low accuracy of radiation calibration of the MERSI absorption channel, along with the inaccurate look-up table of apparent reflectance and water vapor within the water vapor retrieved algorithm. In addition, the surface reflectance, the mixed pixels of image cloud, the humidity and temperature of atmospheric vertical profile and the haze were also found to have affected the accuracy of MERSI water vapor product.     

建模与仿真VV＆A辅助软件设计与实现

设计开发了MSVAS（建模与仿真VV＆A（校核、验证和确认）辅助软件）,提高导弹动力学仿真系统VV＆A自动化程度。过程管理模块通过工程配置文件设计,提供VV＆A流程的图形化设计与管理、任务安排等功能,指导VV＆A工作顺利进行;评估分析模块提供方法库,为各类具体评估工作提供技术方法支持;模型测试模块提供各种试验设计方法,目的是为充分测试评估模型的可信性设计各类测试实例;资源管理模块对导弹动力学系统VV＆A所涉及到的数据、模型和文档等资源进行了合理、有效的管理。MSVAS能为导弹动力学仿真系统VV＆A提供过程管理、技术等支持,提高了VV＆A工作效率,并减轻工作者的负担。     

单站多普勒跟踪定轨的优化算法

由于低轨道小卫星应用的日益广泛，在轨卫星数目的迅速膨胀，对传统的多个地面站相互协调管理卫星领域模式提出了挑战。小卫星的低成本特性必然要求存在与之相应的地面站设施降低复杂性、降低成本。本文针对当前已提出的单站多普勒定轨方案，进一步研究了多普勒定轨的有关方法，提出和建立了多普勒定轨的优化算法与模型，最后进行了仿真分析与模型的有效性验证。     

光学采样成像系统传递函数补偿的试验研究

简要介绍了传递函数补偿（MTFC）验证试验，通过物理仿真和基于ISO20462的最小可觉差（JND）主观评价，对光学采样成像系统MTFC进行了研究。在实验室建立模拟采样成像系统进行物理仿真；通过对7次JND评价数据之间的相互验证，说明JND主观评价具有客观性，试验数据和MTFC验证结论准确可信。     

嫦娥五号探测器系统级电性能测试设计与实践

针对嫦娥五号探测器综合测试中遍历在轨飞行状态引发的全面覆盖难度大,任务剖面及关键环节多引发的模拟飞行及健壮性测试要求高等问题,提出并实践了状态遍历及增量式集成的系统级测试方法,测试设计按照分状态分阶段分剖面的多层次验证策略,探索出了一套从"最基本启动,增量式叠加,分步骤集成"的整体性测试与验证的解决方案,达到了在项目早期将系统验证工作置于真实环境下开展测试评估的效果。同时也解构了探测器组成复杂,器间交互多,器内耦合多的系统级全覆盖难题。引入非侵入式监测技术解决了特定任务剖面及系统级条件下关键动作高保真数据获取的难题。与阿波罗载人登月相比,嫦娥五号探测器系统级测试设计实现了测试与评估可靠性活动在整器研制环节的流程左移,体现了中国航天器研制技术的特点。     

民机风洞试验验证技术中的几点新发展

通过总结近年来与国内外风洞试验验证专业领域中的合作经验,提出了几点民机风洞试验验证技术中的新发展。它们有的已经广泛应用于工程实际,有的是在对外合作中刚刚获得的一些新经验,有的则是刚开始摸索并将要在后续的风洞试验验证中继续深入实施的措施等,一并提出,以期为后来者提供参考。