Investigation on automatic change detection using pixel-changes and DSM-changes with ALOS-PRISM triplet images

8 citations as recorded by crossref.

1. Automatic 3D Multiple Building Change Detection Model Based on Encoder–Decoder Network Using Highly Unbalanced Remote Sensing Datasets M. Gomroki et al. https://doi.org/10.1109/JSTARS.2023.3328561
2. Multiclass Building Change Detection Using Deep Learning Networks Based on 3D Aerial and Satellite Datasets A. Eftekhari et al. https://doi.org/10.61882/jgit.13.1.95
3. MFFNet: a building change detection method based on fusion of spectral and geometric information Z. Guo et al. https://doi.org/10.1080/10106049.2024.2322053
4. Three-dimensional building change detection using object-based image analysis (case study: Tehran) F. Tabib Mahmoudi & S. Hosseini https://doi.org/10.1007/s12518-020-00349-w
5. Object-based 3D building change detection using point-level change indicators L. Zhang et al. https://doi.org/10.1016/j.jag.2023.103293
6. Multimodal Co-Learning for Building Change Detection: A Domain Adaptation Framework Using VHR Images and Digital Surface Models Y. Xie et al. https://doi.org/10.1109/TGRS.2024.3362680
7. 3D change detection – Approaches and applications R. Qin et al. https://doi.org/10.1016/j.isprsjprs.2016.09.013
8. 2D and 3D Urban Change Detection Methods Using Remote Sensing: A Review M. Gomroki et al. https://doi.org/10.3390/rs18101606