In comparison with the maximum likelihood classification by field survey data, the classification precision of this model heightens 16%.

结合实地调查数据与最大似然分类算法进行对比实验，表明该模型比最大似然总体分类精度高16%。

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Maximum likelihood classifier (MLC) is the most used and effective classification method.

最大似然法分是常规遥感图像最常用、最有效的分类方法。

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And the accuracy rate of a classification network is explained as the maximum likelihood estimation of the generalization ability.

证明了一个分类网络的测试集正确率是该网络推广能力的极大似然估计；

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