并且与图像分类中统计方法的经典算法贝叶斯分类方法做了比较，结果发现，神经网络分类方法的分类效果要优于贝叶斯方法。
Comparing with Bayes method-the classical algorithm, we conclude that the neural network is better than Bayes method. This paper gives all the procedures of SAR image classification.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
主要介绍了贝叶斯网络分类器中的TAN分类器的模型、构造方法及分类方法。
This paper mainly introduces the TAN classifier model, its building method and class method.
目前遥感影像分类的常用模型和算法有统计学方法、神经网络、贝叶斯等。
Current remote sensing image classification models and algorithms commonly used statistical methods, neural networks, Bayesian and so on.
它主要有两种分类方法：一种为朴素贝叶斯分类，另一种为贝叶斯信念网络分类。
It is mainly of two kinds, Naive Bayesian Classification and Bayesian Belief Network Classification.
它主要有两种分类方法：一种为朴素贝叶斯分类，另一种为贝叶斯信念网络分类。
It is mainly of two kinds, Naive Bayesian Classification and Bayesian Belief Network Classification.
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