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基准矩阵
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  benchmark matrix
     In this paper the method of geometric correction of ETM data from Landsat-6,to be launched in near future, is discussed. By using benchmark matrix calculation, high frequency matrix compensation and cubic spline resampling the correction processing is greatly simplified. The simulation results show that the internal geometric accuracy of one pixel can be obtained.
     该文对即将发射的Landsat-6ETM仪器数据的几何校正方法进行论述.文中采用基准矩阵运算、高频矩阵补偿与三次样条函数重采样算法大大简化处理运算.模拟试验结果证明图象内部几何精度可达一个象元之内.
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  “基准矩阵”译为未确定词的双语例句
     It made the building of reference matrix simplify, matching the real time and accuracy demand of air defense combat, computing speed is fast.
     该方法使基准矩阵的建立简化,符合防空作战的实时性、准确性要求,计算速度快.
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  相似匹配句对
     F-matrices
     F-矩阵(英文)
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     CRITERIA FOR H-MATRICES
     H矩阵的判定
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     length standard;
     长度基准
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     The Discussion of Voltage Reference and it's Application
     电压基准
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  benchmark matrix
Develop an appropriate numerical scheme assessed on an appropriate benchmark matrix.
      
The numerical scheme in commercial CFD codes remains often confidential and one has to assess their capabilities on appropriate benchmark matrix.
      


In this paper the method of geometric correction of ETM data from Landsat-6,to be launched in near future, is discussed. By using benchmark matrix calculation, high frequency matrix compensation and cubic spline resampling the correction processing is greatly simplified. The simulation results show that the internal geometric accuracy of one pixel can be obtained.

该文对即将发射的Landsat-6ETM仪器数据的几何校正方法进行论述.文中采用基准矩阵运算、高频矩阵补偿与三次样条函数重采样算法大大简化处理运算.模拟试验结果证明图象内部几何精度可达一个象元之内.

On the base of studying air attack target character recognition and cluster model, the paper build a critical character matrix based recognition and cluster improved model. It concludes that the result of fuzzy recognition and cluster is the same as the result of expert estimate through analyses of an example. It made the building of reference matrix simplify, matching the real time and accuracy demand of air defense combat, computing speed is fast.

 在研究空袭目标类型识别聚类的基本模型基础上,建立了基于关键特征矩阵的识别聚类改进模型.并通过实例分析进行验证,模糊识别聚类结果与专家评定结果是相吻合的.该方法使基准矩阵的建立简化,符合防空作战的实时性、准确性要求,计算速度快.

 
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