在介绍测雨雷达反演雷达反射率因子的标准算法的基础上，对雷达反射率因子反演算法进行了改进。

Precipitation radar's standard algorithms of retrieving radar reflectivity factor are introduced first and an improved method is brought forward.

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总结说来，这些应用皆显示我们提出的成对特征学习演算法，可大幅增进分类准确率。

In summary, all these experiments demonstrate the improvement in accuracy by using the proposed paired feature learning in an AdaBoost classification framework.

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