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基于实时解空间的三维声源定位 总被引:2,自引:0,他引:2
提出了一种基于实时解空间库的快速三维声源定位算法。该算法使用来自四个声传感器 ,一个风速传感器和一个风向传感器的信号能够准确快速地计算出声源的位置。 相似文献
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Ziwei Deng Xiang Zhu Qingyun He Lisha Tang 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2019,63(7):2144-2154
It is of great significance to timely, accurately, and effectively monitor land use/cover in city regions for the reasonable development and utilization of urban land resources. The remotely sensed dynamic monitoring of Land use/land cover (LULC) in rapidly developing city regions has increasingly depended on remote-sensing data at high temporal and spatial resolutions. However, due to the influence of revisiting periods and weather, it is difficult to acquire enough time-series images with high quality at both high temporal and spatial resolution from the same sensor. In this paper we used the temporal-spatial fusion model ESTARFM (Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model) to blend Landsat8 and MODIS data and obtain time-series Landsat8 images. Then, land cover information is extracted using an object-based classification method. In this study, the proposed method is validated by a case study of the Changsha City. The results show that the overall accuracy and Kappa coefficient were 94.38% and 0.88, respectively, and the user/producer accuracies of vegetation types were all over 85%. Our approach provides an accurate and efficient technical method for the effective extraction of land use/cover information in the highly heterogeneous regions. 相似文献
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为优化嫦娥五号探测器操控,达到通过给任意具备测控链路的舱段校时即可实现多舱段组合体时间同步的目标,提出了一种接力式校时及误差控制方法。该方法通过相邻舱段间接力式时间传递实现舱段间时间自流动。设计了基于飞行模式的时间基准设备检索方法,通过统一的检索配置表使各设备能够根据飞行模式识别上级时间基准设备,实现了各舱段的自主校时。设计了总线控制器(Bus controller,BC)与远置单元(Remote terminal,RT)间的分布式时间传递误差控制方法,BC端修正时间信息发送时产生的误差,RT端控制时间信息接收时引入的误差,保证了整器时统精度。研究方法实现了多舱段复杂航天器的器内自组织时统,已在嫦娥五号探测器上得到应用并取得预期效果,可为后续航天器软件设计提供参考。 相似文献
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Shuhui Li Junhuan Peng Weichao Xu Kun Qin 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2013
A 10.7 cm solar radio flux F10.7, geomagnetic planetary equivalent amplitude (Ap index), and period variations were considered in this paper to construct a linear model for daily averaged ionospheric total electron content (TEC). The correlation coefficient of the modeled results and International GNSS Service (IGS) observables was approximately 0.97, which implied that the model could accurately reflect the realistic variation characteristics of the daily averaged TEC. The influences of the different factors on TEC and its characteristics at different latitudes were examined with this model. Results show that solar activity, annual and semiannual cycles are the three most important factors that affect daily averaged TEC. Solar activity is the primary determinant of TEC during periods with high solar activity, whereas periodic factors primarily contribute to TEC during periods with minimum solar activity. The extent of the influences of the different factors on TEC exhibits obvious differences at varying latitudes. The magnitude of the semiannual variation becomes less significant with the increase in latitude. Furthermore, a geomagnetic storm causes an increase in TEC at low latitudes and a decrease at high latitudes. 相似文献