Aiming at the variety of building change types in the process of urban development, this paper proposed a high-resolution remote sensing building change detection method based on D-S evidence theory. Based on the results of multi-scale image segmentation, a non-building index NBI is designed by combining multiple factors at first. On this basis, the multi-temporal NBI, traditional building index MBI and differential features are combined to construct the building change evidence set. Finally, an evidence confidence index combined with shadow detection is proposed, then a complete set of D-S evidence theory change detection model is constructed. Thus, the buildings can be divided into new, demolished and rebuilt categories. The experimental results of images from different regions show that the change detection accuracy and Kappa coefficient of the proposed model can reach more than 80% and above 0. 7 respectively, which are better than contrast method in both visual analysis and quantitative evaluation.