3D URBAN CHANGE DETECTION WITH POINT CLOUD SIAMESE NETWORKS

5 citations as recorded by crossref.

1. MSENet: multi-task synergistic enhancement network for 3D building instance change detection W. Zhan & J. Chen
2. Siamese KPConv: 3D multiple change detection from raw point clouds using deep learning I. de Gélis et al.
3. Automatic 3D Multiple Building Change Detection Model Based on Encoder–Decoder Network Using Highly Unbalanced Remote Sensing Datasets M. Gomroki et al.
4. Cross-temporal and spatial information fusion for multi-task building change detection using multi-temporal optical imagery W. Xiao et al.
5. Change detection of urban objects using 3D point clouds: A review U. Stilla & Y. Xu