Abstract: Based on the concept of information gain ratio in the decision tree algorithm, this paper has proposed a novel feature selection method using the attribute contribution. The contributions of attribute are obtained by accumulating in the category analysis. And then the feature space distance formula can be calculated using the feature contribution as weights. The feature contribution helps to reduce the dimension of the high-dimensional feature. The proposed method is tested in the remote sensing image change detection. The experimental results show that the proposed feature selection method can effectively improve the accuracy of the homologous image change detection results.