仿真结果表明改进的决策模板法比经典的决策模板法识别率提高7.8% ，是一种比较有效的识别方法。

Simulation result showed that target recognition ratio can be improved by 7.8% with the modified algorithm, which shows that the decision template method is effective.

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本研究对一种经典的导热系数测试方法—周期热流法进行了研究和改进。

A classical thermal conductivity measurement method, named periodic heating measuring technique, has been developed in this research.

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在分类结果比较法的研究过程中，针对城区变化检测的特定问题，改进了经典k近邻法，获得了较好的变化检测结果。

In the process of researching post-classification comparison method this paper improve K-nearest neighbor classifier and gain better detection result.

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