最大似然法分是常规遥感图像最常用、最有效的分类方法。
Maximum likelihood classifier (MLC) is the most used and effective classification method.
该方法利用最大似然准则建立目标函数，同时利用非线性共轭梯度法来优化求解目标函数。
The objective function was established based on the maximum likelihood rule, which was solved by nonlinear conjugate gradient method.
最大似然法采用了迭代的方法来估计噪声的协方差矩。
The estimation of noise covariance matrix is based on iterative procedure in ML.
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