3DCD: A NEW DATASET FOR 2D AND 3D CHANGE DETECTION USING DEEP LEARNING TECHNIQUES

5 citations as recorded by crossref.

1. Change detection of urban objects using 3D point clouds: A review U. Stilla & Y. Xu 10.1016/j.isprsjprs.2023.01.010
2. A Review of Deep-Learning Methods for Change Detection in Multispectral Remote Sensing Images E. Parelius 10.3390/rs15082092
3. A 2D/3D multimodal data simulation approach with applications on urban semantic segmentation, building extraction and change detection M. Fuentes Reyes et al. 10.1016/j.isprsjprs.2023.09.013
4. An End-to-End Point-Based Method and a New Dataset for Street-Level Point Cloud Change Detection Z. Wang et al. 10.1109/TGRS.2023.3295386
5. Inferring 3D change detection from bitemporal optical images V. Marsocci et al. 10.1016/j.isprsjprs.2022.12.009