POST-DISASTER DAMAGE ASSESSMENT THROUGH COHERENT CHANGE DETECTION ON SAR IMAGERY

5 citations as recorded by crossref.

1. Integration of Multi-Source Datasets for Assessing Ground Swelling/Shrinking Risk in Cyprus: The Case Studies of Pyrgos–Parekklisia and Moni A. Argyriou et al. https://doi.org/10.3390/rs16173185
2. Deviation-guided dual-model machine learning SAR coherence change detection framework for extracting changes in low-coherence areas D. Liu & T. Balz https://doi.org/10.1016/j.isprsjprs.2026.05.034
3. Evaluation of Coherent and Incoherent Landslide Detection Methods Based on Synthetic Aperture Radar for Rapid Response: A Case Study for the 2018 Hokkaido Landslides J. Jung & S. Yun https://doi.org/10.3390/rs12020265
4. A comparison of Sentinel-1 and Sentinel-2 in assessing flooded area and built-up land use: A case study of selected coastal districts in Andra Pradesh, India H. Gonuguntla et al. https://doi.org/10.35595/2414-9179-2020-2-26-421-435
5. Fusion Despeckling Based on Surface Variation Anisotropic Diffusion Filter and Ratio Image Filter F. Guo et al. https://doi.org/10.1109/TGRS.2019.2948890