ID 原文 译文
53917 为预判民航导航设备在特定位置或时间达不到运行要求时，对信号覆盖造成的影响，以航路、扇区覆盖为例，设计并实现一套导航台站查询与信号覆盖评估系统。 In order to predict the influence of signal coverage when the civil aviation navigation equipment failed to meet the operation requirements at a specific location or time, a system of station query and signal coverage evaluation was designed and implemented by taking route and sector coverage as an example.
53918 首先综合考虑视距传播、基站天线辐射距离、视线截止距离等因素得到信号覆盖范围; Firstly, the signal coverage was obtained by considering the factors of the distance of sight propagation, the radiation distance of the base station antenna and the line of sight cut-off distance.
53919 然后基于射线法和二分法等建立设备信号覆盖范围变化的量化评估算法，包括距离量算和面积量算; Then, based on ray method and dichotomy method, the quantitative evaluation algorithm of equipment signal coverage change was established, including distance measurement and area measurement.
53920 最后，对设备失效前后航路、扇区的信号覆盖变化情况包括覆盖距离和面积变化等进行量化评估， Finally, the signal coverage changes of the route and sector before and after the equipment failure, including coverage distance or area change, were evaluated quantitatively.
53921 并基于三维地理信息系统实现场景仿真，将覆盖变化情况三维可视化，生成评估报告，为设备故障应急处置和运行安全提供必要的数据支撑。 Meanwhile, the scene simulation was realized based on the 3 D geographic information system, and the coverage changes were visualized in three dimensions, then the evaluation report was generated, which provides necessary data support for emergency disposal and operation safety of equipment failure.
53922 非负矩阵分解(Nonnegative Matrix Factorization，NMF)技术已经成为了高光谱解混领域研究的热点。 Nonnegative Matrix Factorization(NMF) had become a hot research topic in the field of hyperspectral unmixing.
53923 但是如何有效地利用高光谱的空间和光谱信息仍然是一个难点，尤其在确定局部邻域时，往往会遇到结构固定等问题。 However, it was still difficult to make effective use of hyperspectral space and spectral information, especially when determining local neighborhood, structure fixation was often encountered.
53924 针对以上问题，提出了一种基于自适应局部邻域加权约束的非负矩阵分解算法。 To solve the above problems, a non-negative matrix decomposition algorithm based on adaptive local neighborhood weighting constraint was proposed.
53925 算法根据丰度的数据特点可以自适应确定给定像元的局部邻域， The local neighborhood of a given pixel could be determined adaptively according to the data characteristics of the abundance.
53926 算法中的权重充分地利用了给定像元和邻域内像元的空间和光谱信息，改善了高光谱解混的性能。 The weight of the algorithm made full use of the spatial and spectral information of the given pixel and the pixel in the neighborhood to improve the performance of hyperspectral unmixing.