基于APP的卫星地面遥控系统安全性设计

目前,我国绝大部分卫星的遥控指令上行操作必须在专用测控网内进行,当卫星发生在轨异常时,相关支持人员必须赶赴测控中心现场进行集中处置,非工作时段时效性较低,不利于紧急情况下的异常快速处置。对基于APP的卫星地面遥控系统安全应用方案进行了研究和设计,旨在为我国未来卫星高效运行管理提供一种新的手段,通过原型系统的仿真测试,验证了系统的技术可行性,实现卫星管理相关人员在远离测控中心的情况下也能安全有效地参与在轨异常应急处置。     

定常基线卫星编队构形设计

采用动力学法研究了卫星编队的相对运动特性,根据星间相对基线的定义,仔细推导了星间相对基线与卫星编队构形参数之间的关系,并根据此关系定义了一种可以较好地反映星间相对基线运动稳定性的指标,即稳定度.在一个轨道周期内,分析了三种特殊卫星编队的最大水平基线和最大垂直基线在相同稳定度下的稳定时间.结果表明,这三种编队构形不能满足水平基线和垂直基线同时定常的要求.由此出发,重点研究了可以使星间相对基线定常的条件,并得出了相应的结论.水平基线定常的充要条件为三个约束关系式,垂直基线定常的充要条件为两个约束关系式.由此条件同时可知,两星编队无法满足水平基线和垂直基线同时定常的要求,因此,至少需要三星编队才可以达到此要求.最后,按照本文所得结论,设计了一个水平基线和垂直基线同时定常的三星编队.利用成熟软件对设计结果进行了分析,分析结果表明了本设计方法的正确性.      

合成孔径雷达卫星构型设计

合成孔径雷(Synthetic Aperture Radar,简称SAR)卫星的构型与其它卫星相比具有一定的特殊性,主要体现在大面积的相控平面SAR天线在工作时需侧视(长度方向沿飞行方向)和SAR天线与太阳电池阵之间的相容性.通过分析SAR卫星构型的特点,根据卫星构型设计的原则,结合SAR卫星的构型实例,给出SAR卫星构型设计的基本思路和方法.     

导航卫星中断频次的分析方法

面向导航卫星中断频次的定量分析需求,该文分析导航卫星中断产生的主要原因,给出中断频次分析的流程,并针对分析过程中的三个关键问题,研究提出具体实施方法,包括通过相关性分析快速定位底层中断事件,通过中断树建立指标分析模型,并融合在轨数据、地面试验数据快速预估得到底层功能异常率等。最后通过示例进一步说明中断频次分析过程。该文方法已应用于北斗导航卫星工程。     

卫星遥感农业监测系统中实例检索算法研究

针对智慧农业中需求获取手段、表达方法等导致智能设计算法复杂度高、可用性低等问题，将卫星遥感技术和网络技术结合实现农作物及其生长环境参数的实时监测，以优化播种机设计的需求特征，并以此为基础，提出基于混合相似度的实例检索模型。在该模型中，设计了多级实例库结构，并以特征间距离相似度、特征间可拓关联度、特征间可拓距测度为组成要素，构造多级混合相似度的层次结构与计算方法，进行多级实例检索。将其应用到铲式播种机的数字化设计系统中，可获得与目标实例最相似的实例。实验结果表明，在实例的特征值数据类型多样化的情况下，此算法能够有效地检索出合适的历史实例，提高检索结果的可用性。     

基于LabVIEW远程校准系统研究

远程校准系统可提高部队的机动计量保障能力，是未来我军计量保障的发展方向。远程校准系统分离了专业计量人员与校准现场，可在任何时间、任何地点实现校准操作。基于LabVIEW开发平台，对系统中客户端、网络传输部分、服务器进行了详细的设计，利用远程校准系统完成了电源Maynuo M8831的远程校准，并自动生成校准结果。该系统操作简单易懂，为部队武器装备的远程校准提供技术支撑。     

Ionospheric parameters in the European sector during the magnetic storm of August 25–26, 2018

Variations of ionospheric parameters Total Electron Content (TEC) by GNSS, critical frequency (foF2) by vertical sounding and electron density (Ne) by low-altitude satellite were studied at high, mid and low latitudes of the European sector during the magnetic storm of August 25–26, 2018. During the main phase of the storm the ionospheric F2-layer was under the positive disturbance at mid and low latitudes. Then the transition from the positive to negative ΔfoF2 values occurred at all latitudes. The recovery phase was characterized by negative ionospheric disturbance at all latitudes. This is due to the decrease of thermospheric O/N2 ratio during the recovery phase of the storm. The intense Es layers screened the reflections from the F2-layer on August 26th at high and at low latitudes but at different times. Some blackouts occurred due to the high absorption level at high latitudes. In general, foF2 and TEC data were highly correlated. The major Ne changes were at the low latitudes. In general, Ne data confirmed the ionospheric dynamics revealed with foF2 and TEC.     

Object-based rice mapping using time-series and phenological data

Remote sensing techniques are often used in mapping rice, but high quality time-series remote sensing data are difficult to obtain due to the cloudy weather of rice growing areas and long satellite revisit interval. As such, rice mapping is usually based on mono-temporal Landsat TM/ETM+ data, which have large uncertainties due to the spectral similarity of different vegetation types. Moreover, conventional pixel-based classification method is unable to meet the required accuracy for rice mapping. Therefore, this study proposes a new strategy for mapping rice in cloud-prone areas using fused data of Landsat-8 OLI time-series and phenological parameters, based on the object-based method. We determine the critical growth stages of paddy rice from observed phenological data and MODIS-NDVI time-series data. The spatial and temporal adaptive reflectance fusion model (STARFM) is used to blend the MODIS and Landsat data to obtain a multi-temporal Landsat-like dataset for classification. Finally, an object-oriented algorithm is used to extract rice paddies from the Landsat-like, time-series dataset. The validation experiments show that the proposed method can provide high accuracy rice mapping, with an overall accuracy of 92.38% and a kappa coefficient of 0.85.     

Estimating sea level rise around Australia using a new approach to account for low frequency climate signals

Regional sea level studies help to identify the vulnerable areas to the sea level rise. This study investigates the impact of climate modes on sea level variations and trends around Australia using altimetry data, climate indices, and sea level records from tide gauge stations. Here, we show that the sea level variations are negatively correlated with climate indices to the north and west of Australia. The spectral analyses of the climate indices and tide gauge data suggest that a low frequency signal with a period of 11 years emerges during the mid 1980s. Since the 25-year length of the satellite altimetry record is yet too short to detect low frequency signals, their effect on the estimation of regional sea level trend is unknown. Therefore, we estimate the sea level trend with consideration of this signal and using a two-step method. All signals with periods shorter than 7.5 years are first removed from sea level time series and then the trend is estimated using the parametric model that includes the 11-year signal. The skill of the parametric model in explaining the variations in sea level anomaly validates the presence of the 11-year signal detected in the spectrograms of the tide gauge data and climate indices. The average sea level trend for the study area is estimated as 3.85 ± 0.15 mm/year.     

卫星遥感农业监测系统中权重优化的实例修改算法

针对播种机设计过程需求获取的复杂性和可用性低等问题，采用遥感等技术动态监测土壤、农作物生长过程中的一些参数，以优化设计需求特征，并以此为基础，提出改进的混合权重实例修改算法。该算法以相似实例检索为前提，以相似实例集中的特征相似度、问题-解特征间的关联度、问题特征间的自相关度为因子，通过矩阵乘法来构造解特征混合权重矩阵，进行实例修改。将其应用到铲式播种机的数字化设计系统中，以实现智能设计。研究结果表明新算法能有效提高机械设计结果的可用性和准确度。