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滑动邻域
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  “滑动邻域”译为未确定词的双语例句
     A Moving Neighborhood Kriging Algorithm Using Delaunay-Fixed Distance Neighborhood Selection
     Delaunay-固定距离滑动邻域Kriging算法
短句来源
     Improvement of Moving Neighborhood Kriging Method
     滑动邻域克里金插值法的改进
短句来源
     After analyzing the shortcoming of conventional moving neighborhood Kriging, a modified approach of data interpolation is presented to determine the trend of drifting by multi-elemental regression, search known points within neighborhood using data structure of triangular mesh, and evaluate the coefficients of variogram by restricted maximum likelihood.
     在分析了原滑动邻域克里金插值法存在的不足之后 ,提出了在插值过程中利用多元逐步回归方法确定待插点邻域内区域化变量的漂移次数 ,利用三角网格剖分后的节点数据结构 ,快速搜索局部邻域内的已知点 ,变异函数参数的求取采用受限最大似然法的改进方法 .
短句来源
     The principles of neighborhood selection in Kriging are outlined in particular through a case study of temperature field’s calculation. Delaunay triangulation and fixed distance metrics are integrated in neighborhood selection.
     文章结合温度场计算的实际应用详细分析了Kriging 邻近点选择中需要考虑的原则,并采用Delaunay 三角划分搜索和固定距离搜索相结合的邻近点搜索策略,提出一种利用变程的Delaunay-固定距离滑动邻域算法。
短句来源
     In the calculation of temperature field, the new algorithm gives higher precision result compared with moving neighborhood algorithm using fixed-distance alone.
     通过温度场数据的计算结果证明新算法在精确度上优于普通固定半径的滑动邻域Kriging 算法。
短句来源
  相似匹配句对
     Improvement of Moving Neighborhood Kriging Method
     滑动邻域克里金插值法的改进
短句来源
     A Moving Neighborhood Kriging Algorithm Using Delaunay-Fixed Distance Neighborhood Selection
     Delaunay-固定距离滑动邻域Kriging算法
短句来源
     SLIDING CURVES
     滑动曲线
短句来源
     NEIGHBORHOOD COMPLEIES OF TREES
     树的邻域复形
短句来源
     ON GRAVITATIONAL GLIDING STRUCTURES
     重力滑动构造
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After analyzing the shortcoming of conventional moving neighborhood Kriging, a modified approach of data interpolation is presented to determine the trend of drifting by multi-elemental regression, search known points within neighborhood using data structure of triangular mesh, and evaluate the coefficients of variogram by restricted maximum likelihood. An example shows that the effect of modified approach is better than that of conventional one.

在分析了原滑动邻域克里金插值法存在的不足之后 ,提出了在插值过程中利用多元逐步回归方法确定待插点邻域内区域化变量的漂移次数 ,利用三角网格剖分后的节点数据结构 ,快速搜索局部邻域内的已知点 ,变异函数参数的求取采用受限最大似然法的改进方法 .应用实例的效果表明 ,改进的滑动邻域克里金插值法优于原方法 .

A kind of nonparametric detection of dim moving point targets in infrared (IR) image sequence data is presented. The models for observations and targets are also described. The moving weighted local average removal method is used for clutter suppression. Integrating the target energy over multiple frames along possible tracks in 2D space produced by projecting the image sequence along the time axis. This technique can be charac-terized by its insensitivity to the changes of noise's statistical distribution,suitability...

A kind of nonparametric detection of dim moving point targets in infrared (IR) image sequence data is presented. The models for observations and targets are also described. The moving weighted local average removal method is used for clutter suppression. Integrating the target energy over multiple frames along possible tracks in 2D space produced by projecting the image sequence along the time axis. This technique can be charac-terized by its insensitivity to the changes of noise's statistical distribution,suitability for real-time processing and extreme simplicity in implementation that it is very useful in many practical applications. Theoretical analysis of the algorithm's performance and experimental results are also given.

研究了红外图像序列的观测及目标模型,提出了一种基于多帧的微弱点状动目标非参数检测技术。采用滑动邻域加权预测抑制杂波干扰,白化噪声特性,将时空三维搜索简化为沿时间轴投影与二维空域搜索,沿可能的轨迹上将目标能量高维集成。相应算法的检测性能对噪声分布不敏感,实时性好,实现简单,具有很高的实用价值。给出了该算法性能的理论分析和实验仿真结果。

In geostatistics, Kriging is a kind of algorithm that interpolates the given discrete data with spatially correlated errors. As a regional algorithm, neighborhood selection is crucial in the Kriging applications. The principles of neighborhood selection in Kriging are outlined in particular through a case study of temperature field’s calculation. Delaunay triangulation and fixed distance metrics are integrated in neighborhood selection. In the calculation of temperature field, the new algorithm gives higher...

In geostatistics, Kriging is a kind of algorithm that interpolates the given discrete data with spatially correlated errors. As a regional algorithm, neighborhood selection is crucial in the Kriging applications. The principles of neighborhood selection in Kriging are outlined in particular through a case study of temperature field’s calculation. Delaunay triangulation and fixed distance metrics are integrated in neighborhood selection. In the calculation of temperature field, the new algorithm gives higher precision result compared with moving neighborhood algorithm using fixed-distance alone.

地质统计学中的Kriging 算法是利用空间变异结构进行插值预报的算法,作为一种区域性算法,邻近点的选择是Kriging 算法实际应用中无法回避的重要问题。文章结合温度场计算的实际应用详细分析了Kriging 邻近点选择中需要考虑的原则,并采用Delaunay 三角划分搜索和固定距离搜索相结合的邻近点搜索策略,提出一种利用变程的Delaunay-固定距离滑动邻域算法。通过温度场数据的计算结果证明新算法在精确度上优于普通固定半径的滑动邻域Kriging 算法。

 
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