Wup-cd: towards 2.5d data for deep learning building change detection

We present WUP-CD, a high-resolution aerial dataset for building change detection consisting of both orthorectified aerial imagery and corresponding elevation information acquired at two points in time. Detailed analysis of the dataset using several state-of-the-art deep learning methods allows us to show that the best results are obtained using elevation data only, highlighting its importance for future data acquisition and model development. The dataset is available for download (1).