Long-term evolution of Galileo operational orbits by canonical perturbation theory

Galileo operational orbits are slightly affected by the 3 to 5 tesseral resonance, an effect that can be much more important in the case of disposal orbits. Proceeding by canonical perturbation theory we show that the part of the long-term Hamiltonian corresponding to the non-centralities of the Earth's gravitational potential can be replaced by an intermediary that shows the pendulum dynamics of the 3 to 5 tesseral resonance problem. Inclusion of lunisolar perturbations requires a semi-analytical integration, which is compared with the corresponding results from the well-established Draper Semi-analytical Satellite Theory.     

Fractional order tension control for stable and fast tethered satellite retrieval

The retrieval of a tethered satellite system is intrinsically unstable. This paper develops a new control strategy to retrieve the tethered satellite system stably and quickly using the fractional order control theory. The governing equation of the tethered satellite system and classic linear feedback tension control law were first reviewed and examined as a benchmark. Then, a new fractional order tension control law has been to avoid the tethered satellite winds around the main satellite near the end of retrieval by existing integer order tension control laws. The newly proposed control law has been discretized and implemented by the Laplace transform and Tustin operator. Unlike the existing integer order control laws, which are based on the feedback of current state and memoryless, the fractional order control law has the memory of previous states and thus controls the tether retrieval more smoothly while maintaining the retrieving speed. The effectiveness and advantage of the new fractional order tension control law is demonstrated numerically by comparing with its integer order counterpart. The results show that the new control law not only retrieves the subsatellite without winding around the main satellite, but also provides a better control performance with smaller in-plane libration angles.     

Determination of land surface temperature using precipitable water based Split-Window and Artificial Neural Network in Turkey

Land surface temperature (LST) calculation utilizing satellite thermal images is very difficult due to the great temporal variance of atmospheric water vapor in the atmosphere which strongly affects the thermal radiance incoming to satellite sensors. In this study, Split-Window (SW) and Radial Basis Function (RBF) methods were utilized for prediction of LST using precipitable water for Turkey. Coll 94 Split-Window algorithm was modified using regional precipitable water values estimated from upper-air Radiosond observations for the years 1990–2007 and Local Split-Window (LSW) algorithms were generated for the study area. Using local algorithms and Advanced Very High Resolution Radiometer (AVHRR) data, monthly mean daily sum LST values were calculated. In RBF method latitude, longitude, altitude, surface emissivity, sun shine duration and precipitable water values were used as input variables of the structure. Correlation coefficients between estimated and measured LST values were obtained as 99.23% (for RBF) and 94.48% (for LSW) at 00:00 UTC and 92.77% (for RBF) and 89.98% (for LSW) at 12:00 UTC. These meaningful statistical results suggest that RBF and LSW methods could be used for LST calculation.     

一种提高我国空间站中继测控覆盖率的方法

根据中继卫星的定点位置,对我国中继卫星-空间站的几何覆盖率进行了分析,并对提高空间站中继测控覆盖率的途径进行了研究,提出了一种采用不同舱段的2副中继天线融合使用,并通过调整天线安装布局提高中继测控覆盖率的方法。经理论分析和仿真验证,该方法能够有效地提高空间站中继测控覆盖率,可为我国空间站中继天线的安装布局设计提供参考。     

利用高分辨率遥感数据的芦山地震道路损毁快速评估

道路损毁评估是地震损失评估工作的重要内容。文章根据芦山7.0级地震应急评估需求,提出利用多源遥感数据的道路损毁评估方法。首先,针对获取的高分辨率遥感数据特点,建立道路损毁遥感解译标准,进一步考虑地震平均烈度,建立以县为单元的灾区道路损毁等级快速评估模型,最后给出了地震灾区基于高分辨率遥感数据的快速制图产品和灾区道路损毁分县等级评估结果。结果表明,道路损毁极重灾区有芦山县、宝兴县,重灾区有天全县、雨城区、荥经县、名山区、邛崃市,一般灾区有汉源县等14个县(市、区)。相关研究和结果为震后救灾决策提供了重要支撑。     

一种基于Kalman滤波的卫星遥测数据判读系统

分析了卫星遥测数据的变化规律,提出了一种基于卡尔曼(Kalman)滤波的遥测数据判读系统框架,并定义了系统中各模块的功能及接口关系,应用卫星实际遥测数据对判读系统的数据预测效果进行了验证。结果表明,此系统对数据异常反应迅速,能够很好地满足卫星测试的实时性要求。     

The Big Pine Creek watershed and climate change: A trend analysis of Landsat surface reflectance and PRISM datasets over the last 3 decades

Recent variations in normal meteorological conditions indicate the earth’s climate is changing in ways that may impact delicate ecological balances in sensitive regions. Identifying how those changes are affecting the biosphere is essential if we are going to be able to adapt to those changes and to potentially mitigate their harmful consequences. This paper presents a time series study of an alpine ecosystem in the Big Pine Creek watershed in California’s Eastern Sierra Nevada Mountain’s. Raw Landsat data covering the years 1984 through 2011 is converted to observed surface reflectance and analyzed for trends that would indicate a change in the ecosystem. We found that over the time period of the study, observed surface reflectance shows a general decline across the spectrum while our analysis of environmental data demonstrates statistically significant increases in temperatures. While declining reflectance in the visible and short wave bands are indicators of increased surface cover, the fact that the IR band also shows declines is consistent with a decline in tree density. This study provides a useful insight into the ecological response of the Big Pine Creek watershed to recent climate change. These findings suggest that alpine ecosystems are particularly sensitive to increasing temperatures. If these results are replicated in other alpine watersheds it will demonstrate that the biosphere is already showing the effects of a warmer environment.     

基于抗噪声ICA的高光谱数据特征提取方法

特征提取是高光谱数据应用的一个重要环节,用于将高光谱数据中具有特殊性质的地物分离出来并去除冗余信息.提出了一种使用独立成分分析(ICA,Independent Component Analysis)进行高光谱遥感地物特征提取的方法.为了解决ICA对噪声过分敏感的问题,采用最大噪声分量(MNF,Maximum Noise Fraction)算法替代传统的主成分分析对数据作降噪处理,由MNF引出的不完全独立成分分析(UICA,Undercomplete ICA)在不牺牲特征提取能力的情况下能够获得很高的运算效率.给出了HYDICE和PHI的数据试验结果,分别测试了算法在时间效率和特征提取能力方面的性能,证明了该算法具有预期的性能.     

基于视觉模型和图像特征的遥感图像压缩

遥感图像具有纹理复杂、边缘丰富的特点,通常难以实现高压缩比.统计了图像经过小波变换后在不同方向、不同级别子频带的能量分布.然后基于人类视觉系统(HVS)模型中的对比敏感度函数(CSF)和遥感图像的能量分布特征,提出一种不同频带小波系数的变步长量化方法,并把该方法应用于嵌入式小波图像编码器.实验结果表明,与不采用心理视觉量化的压缩方法相比,在相同压缩比下,峰值信噪比略为降低,但恢复图像的主观质量有一定程度的改善.     

基于多源卫星融合资料的中国近海海洋锋检测研究

海洋锋是海洋动力学中重要的研究对象.目前主要利用卫星遥感海面温度数据分析海洋锋.由于夏季中国近海海域海面温度趋同特性,无法利用海面温度数据分析海洋锋,而卫星遥感海色数据可以有效弥补海面温度检测海洋锋的不足,提高海洋锋检测的准确性.基于多源卫星融合数据,利用梯度检测算法对中国近海海域进行海洋锋研究,结合海面温度和蓝绿波段...