As the MRF model with fixed parameters does not fit the real remotely sensed image very well, this paper adjusts the MRF model's parameters during the classification procedure.

针对遥感图像分布的不均匀特性，该文提出的算法没有采用固定的马尔可夫随机场模型参数，而是在递归分类算法中分级地调整模型参数以适应区域的变化。

youdao

As the MRF model with fixed parameters does not fit the real remotely sensed image very well, this paper adjusts the MRF model "s parameters during the classification procedure."

针对遥感图像分布的不均匀性，该文提出的算法没有采用固定的马尔可夫随机场模型参数，而是在递归分类算法中分级地调整模型参数以适应区域的变化。

youdao

As the MRF model with fixed parameters does not fit the real remotely sensed image very well, this paper adjusts the MRF model "s parameters during the classification procedure."

针对遥感图像分布的不均匀性，该文提出的算法没有采用固定的马尔可夫随机场模型参数，而是在递归分类算法中分级地调整模型参数以适应区域的变化。

youdao