256元线阵PtSi SB-IRCCD热成像技术研究

本文简述了256元线阵PtSi肖特基势垒红外电荷耦合器件(以下简称SB-IRCCD)的基本工作原理,介绍了IRCCD热成像总体方案及该线阵图像传感器热成像系统的设计。系统设计采用了微机技术,利用Z80—CPU作为摄像机控制处理核心,配合专门的图像帧存贮器来进行图像处理,补偿器件均匀性,抑制固定图像噪声(FPN)及提高信噪比(S/N),降低最小可分辨温差。摄像机系统采用慢存快读的方式,实现显示标准化,与标准电视制式兼容,便于直接与标准视频记录,处理或分析设备接口。最后介绍模拟红外热成像实验情况。     

2A12/SiCp陶瓷基复合材料伪半固态触变成形研究

在粉末冶金的基础上，结合半固态金属加工技术和21世纪陶瓷基复合材料成形的发展趋势，从而提出了陶瓷基复合材料伪半固态触变成形工艺，并且应用该工艺将2A12铝合金粉末和基体SiC颗粒按不同比例混合而得到的复合材料制备出卫星角框架制件。通过金相分析、拉伸等试验，证明了用该工艺成形陶瓷基复合材料是可行的。结果表明，该工艺成形的零件微观组织比较均匀，硬度比较高并且具有一定的塑性，为陶瓷复合材料以及高熔点材料在更多领域中的应用起到推进作用，同时为该工艺的进一步研究奠定了基础。     

与抽样相结合的县级作物遥感面积估算应用实例

为了探索遥感卫星影像和无人机调查在实际遥感面积估算中的调查效果和适用性,以广东省阳春市晚稻为例,采用卫星影像与无人机调查结果相结合,使用两种面积估算方法进行2013年晚稻种植面积估算。实验结果表明,比估计和回归估计方法的估算结果分别为22 501.1hm2和22 781.1hm2,二者的CV分别为8.84%和1.03%。研究结果表明:1无人机调查可获得高质量的面积测量信息;2优化后的样本能够支持面积估算过程,但其理论意义需要更进一步地讨论与证明;3卫星数据与无人机调查数据相结合的方法可以提供满足统计精度要求的面积测量结果,具有良好的应用前景。     

移动天气雷达系统的卫星通信

为了把移动雷达实时数据传输到北京市气象局,通过对比多种无线通信方式以及卫星通信的优缺点等方法建立了一套卫星通信系统。结果表明：本系统在应急、网络速率、安全等方面都能满足移动雷达系统对数据通信的要求。这套系统的设计将对应急系统的建立具有一定的指导意义。     

基于FLASH星载存储器的高效管理研究

NAND FLASH开始广泛应用于星载存储器,针对FLASH的数据高效管理成为该类存储器研究的重要组成部分。本文以商用文件系统YAFFS2为基础,结合空间应用的数据存储特点,引入文件系统的概念对存储器数据进行管理,制定了针对星载存储器的数据管理方案,搭建了一个实际的星载存储器对相应的管理方案进行了验证。     

Temporal persistence and stability of surface soil moisture in a semi-arid watershed

Satellite soil moisture products, such as those from Advanced Microwave Scanning Radiometer (AMSR), require diverse landscapes for validation. Semi-arid landscapes present a particular challenge to satellite remote sensing validation using traditional techniques because of the high spatial variability and potentially rapid rates of temporal change in moisture conditions. In this study, temporal stability analysis and spatial sampling techniques are used to investigate the representativeness of ground observations at satellite scale soil moisture in a semi-arid watershed for a long study period (March 1, 2002 to September 13, 2005). The watershed utilized, the Walnut Gulch Experimental Watershed, has a dense network of 19 soil moisture sensors, distributed over a 150 km² study region. In conjunction with this monitoring network, intensive gravimetric soil moisture sampling conducted as part of the Soil Moisture Experiment in 2004 (SMEX04), contributed to the calibration of the network for large-scale estimation during the North American Monsoon System (NAMS). The sensor network is shown to be an excellent estimator of the watershed average with an accuracy of approximately 0.01 m³/m³ soil moisture. However, temporal stability analysis indicated that while much of the network is stable, the soil moisture spatial pattern, as represented by mean relative difference, is not replicated by the network mean relative difference pattern. Rather, the network is composed of statistical samples. Geophysical aspects of the watershed, including topography and soil type are also examined for their influence on the soil moisture variability and stability. Soil type, as characterized by bulk density, clay and sand content, was responsible for nearly 50% of the temporal stability. Topographic effects were less important in defining representativeness and stability.     

Using k-nn and discriminant analyses to classify rain forest types in a Landsat TM image over northern Costa Rica

Conservation and land use planning in humid tropical lowland forests urgently need accurate remote sensing techniques to distinguish among floristically different forest types. We investigated the degree to which floristically and structurally defined Costa Rican lowland rain forest types can be accurately discriminated by a non-parametric k nearest neighbors (k-nn) classifier or linear discriminant analysis. Pixel values of Landsat Thematic Mapper (TM) image and Shuttle Radar Topography Mission (SRTM) elevation model extracted from segments or from 5 × 5 pixel windows were employed in the classifications. 104 field plots were classified into three floristic and one structural type of forest (regrowth forest). Three floristically defined forest types were formed through clustering the old-growth forest plots (n = 52) by their species specific importance values. An error assessment of the image classification was conducted via cross-validation and error matrices, and overall percent accuracy and Kappa scores were used as measures of accuracy. Image classification of the four forest types did not adequately distinguish two old-growth forest classes, so they were merged into a single forest class. The resulting three forest classes were most accurately classified by the k-nn classifier using segmented image data (overall accuracy 91%). The second best method, with respect to accuracy, was the k-nn with 5 × 5 pixel windows data (89% accuracy), followed by the canonical discriminant analysis using the 5 × 5 pixel window data (86%) and the segment data (82%). We conclude the k-nn classifier can accurately distinguish floristically and structurally different rain forest types. The classification accuracies were higher for the k-nn classifier than for the canonical discriminant analysis, but the differences in Kappa scores were not statistically significant. The segmentation did not increase classification accuracy in this study.     

空间光通信中轨道短时预报

瞄准、捕获和跟踪(PAT)技术是星间光通信的关键技术之一,高精度卫星轨道短时预报能有效实现PAT.首先在EGM96地球引力场模型下建立了卫星状态动力方程和预报方程,然后改进基于数值算法的扩展卡尔曼滤波算法对卫星轨道短时预报,最后以champ卫星星载GPS实时定轨数据为卡尔曼滤波器观测数据进行仿真实验:预报卫星位置误差约亚米级,速度误差约0.05m/s;卫星位置和速度的均方差估计趋于稳定,在一定程度上能很好地克服离散误差和模型误差对轨道估计精度的影响.PAT瞄准精度约1.6 μrad.预报轨道精度能满足空间光通信PAT技术要求.     

Attacking smart card systems: Theory and practice

Smart card technology has evolved over the last few years following notable improvements in the underlying hardware and software platforms. Advanced smart card microprocessors, along with robust smart card operating systems and platforms, contribute towards a broader acceptance of the technology. These improvements have eliminated some of the traditional smart card security concerns. However, researchers and hackers are constantly looking for new issues and vulnerabilities. In this article we provide a brief overview of the main smart card attack categories and their corresponding countermeasures. We also provide examples of well-documented attacks on systems that use smart card technology (e.g. satellite TV, EMV, proximity identification) in an attempt to highlight the importance of the security of the overall system rather than just the smart card.     

赤潮卫星遥感监测与应用研究进展

赤潮监测是海洋遥感应用的一个重要组成部分。近30 a来,国内外学者发展了许多基于卫星平台的赤潮遥感监测算法。通过回顾赤潮卫星遥感监测的发展历史,总结了各种传感器的赤潮卫星遥感监测算法,分析了各种算法的性能与适用范围。最后,对目前赤潮卫星遥感监测面临的问题进行了讨论,并对未来赤潮遥感监测的发展提出展望。