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.     

八丝热线探针制作及其应用

介绍了八丝热线探针的制作工艺,有效地消除了各热丝探头之间的电信号干扰和动力学干扰。实验中使用该探针检测到了湍流边界层内的大尺度旋涡,并测量了它们的强度和尺度。与此同时还获得了速度、湍流强度和功率谱等流场参数,结果与现有典型数据一致。说明本文所述的多丝热线探针具有很强的实用性。     

L8飞机从风洞到飞行的抖振相关性研究

介绍了Ｌ８飞机抖振边界修正结果，并与同类飞机Ｌ２９飞行抖振边界进行了比较；给出了Ｌ８飞机抖振边和轻度抖振边界预测值。同时将预测抖振边界和试飞得到的抖振边界作了比较。     

JL8飞机安装XZG—2型综合告警器的质量控制及管理方法

介绍了ＸＺＧ－２型综合告警器质量控制和管理的方法与措施。     

涡轴八发动机的发展问题研究

根据涡轴8发动机的生产、使用现状，以及我国加入WT0后所面临的竞争压力，从技术潜力和市场前景两个方面分析了涡轴8发动机发展的有利因素，并从多方面提出了涡轴8发动机发展的可行途径。     

低高度空间高能质子通量分布计算

介绍了AP-8模式、CRRESPRO模式和PSB97模式,并用这3种模式分别计算低高度空间300—1100km范围内的高能质子通量分布,由IDL软件绘出通量等值线图．AP-8模式通量主要受银河宇宙线调制,即受太阳活动直接影响,与太阳活动高年相比,太阳活动低年的质子通量较大;CRRESPRO模式中,因活动期和平静期的数据采集时间前后相差很短,从而使同一高度上两种环境条件下的通量分布相似．模式之间的比较结果表明,AP-8模式通量较小,CRRESFRO模式通量较大,PSB97模式通量介于二者之间,并与实测通量接近．PSB97是为低高度(1000km以下)定制的模式,在低高度上优于AP-8模式和CRRESPRO模式,能较好地计算当前条件下的低高度高能质子通量．     

基于SPARC V8结构处理器的计算机系统设计

首先介绍了国内外计算机SPARC体系结构的研究现状,指出SPARC体系结构已成为国际上流行的处理器结构之一,而且众多航天机构也采用了SPARC结构的处理器设计其航天器的计算机系统。随后,着重说明了SPARC V8的组成结构以及国内外基于SPARC V8结构设计实现的处理器。最后给出了基于国产SPARC V8结构处理器BM3802设计实现的最小系统组成结构。     

TA2/Ni+Nb中间层/1Cr18Ni9Ti扩散焊接头的组织与性能

采用50μm纯Ni箔+10μm纯Nb箔复合中间层,在焊接温度840℃,880℃和920℃,压力4MPa以及保温时间60min的工艺下,对工业纯钛TA2和1Cr18Ni9Ti不锈钢进行了真空扩散焊实验,测试了接头的抗拉强度,并利用光学显微镜(OM)、扫描电镜(SEM)、能谱(EDS)和X射线衍射(XRD)对接头的组织结构、元素分布以及断口形貌和相组成进行了分析。结果表明:Ni+Nb复合中间层的存在成功阻止了Fe,Ti互扩散,实现了TA2与1Cr18Ni9Ti的可靠连接,接头的拉伸强度达到261MPa,该强度主要受剩余Ni箔控制,且焊接温度的变化对其影响不大。接头所生成反应层自不锈钢一侧起分别为FeCrNi固溶体、剩余Ni,Ni3Nb,剩余Nb以及TiNb魏氏体。     

空间微小碎片累积作用下材料光学性能退化预示模型适用性研究

航天器在轨服役期间会遭受到大量空间微小碎片和微流星体的撞击作用,其中的微米级粒子将在航天器表面产生大面积砂蚀现象,并使材料或器件功能衰退。文章介绍了NASA空间微小碎片累积损伤材料光学性能退化预示模型并推导了两个预示模型之间的关系。利用ORDEM2000碎片分布模型估算了K8玻璃累积损伤面积。以K8玻璃为例,对比研究了两个预示模型的适用性。结果表明,当航天器外表面损伤程度小于40%,可利用Canoon模型评价和预示材料光学性能退化规律;当航天器外表面损伤程度大于40%,需利用Mirtich模型评价和预示材料光学性能退化规律。     

Trapped proton fluxes measured on board LEO satellites in comparison with models

The proton fluxes from the low-Earth orbital satellites databases (NPOES-17 and CORONAS-F) were analyzed for the quiet geomagnetic period in April 2005. The satisfactory consent was found between the experimental and the AP8 model fluxes of the trapped protons with energy more than ∼10 MeV. At the same time, trapped proton fluxes with energy less than 10 MeV measured by LEO satellites were higher than the ones predicted by the AP8 model in the region of the SAA (drift shell L < 1.5).