中文摘要：

将α—torrent粗集理论引入遥感影像分类领域，构造了基于α—torrent粗集的遥感影像分类器。该分类器在允许一定误分率基础上进行分类知识的抽取，并利用知识集成感知器进行辅助决策。实验证明，该方法不但可以获得更容易被理解的分类知识，而且在分类精度上也有较大提高。

英文摘要：

Spectral uncertainty or vagueness caused by spectral confusion between-class and spectral variation within-class leads to the overlap in a large number of features. In these cases, the traditional rough sets can not perform and extract knowledge effectively. To solve this problem, this research introduced α-torrent rough set theory to the field of remote sensing classification, and proposed a classifier based on α-torrent rough set theory. With this classifier classification knowledge can be extracted, allowing certain permissible misclassification rate. The classifier adopted a knowledge ensemble method which can assist classifier to make a decision. The experiments showed that the classification accuracy and knowledge explainable had been greatly improved.