The rapid and accurate acquisition of collapse building can guide the effective implemen-tation of emergency rescue , and reduce the damage and casualties at the maximum extent .In this paper , the One-Class method is introduced to extract the collapsed buildings which are the only tar-get of our interest .Two kinds of the One-Class classification method based on support vector ma-chine ( SVM) are described in this paper .The method of minimum hyperspherical One-Class sup-port vector machine is used for the experiments of collapsed buildings extraction only from only post-earthquake PolSAR imagery .The results showed that One-Class approach can fuse multiple features and rapidly extract collapsed buildings , at the same time the extraction accuracy is not very low , so the One-Class is a kind of effective method for earthquake collapsed buildings extraction .%通过引入单类分类方法,将倒塌建筑物作为唯一目标样本进行提取.介绍了两种基于支持向量机的单类分类方法,并选择最小超球体单类支持向量机用于震后单时相PolSAR影像中的倒塌建筑物提取实验,结果表明单类分类方法能够融合多种特征快速提取倒塌建筑物,且能保证一定的提取精度,是一种行之有效的震害提取方法.
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