SAR COHERENCE CHANGE DETECTION OF URBAN AREAS AFFECTED BY DISASTERS USING SENTINEL-1 IMAGERY

11 citations as recorded by crossref.

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2. Earthquake Aftermath from Very High-Resolution WorldView-2 Image and Semi-Automated Object-Based Image Analysis (Case Study: Kermanshah, Sarpol-e Zahab, Iran) D. Omarzadeh et al. https://doi.org/10.3390/rs13214272
3. An Analysis of Urbanisation Dynamics with the Use of the Fuzzy Set Theory—A Case Study of the City of Olsztyn A. Biłozor et al. https://doi.org/10.3390/rs12111784
4. City Boundaries—Utilizing Fuzzy Set Theory for the Identification and Localization of the Urban–Rural Transition Zone A. Biłozor et al. https://doi.org/10.3390/su16219490
5. Microwave versus Optical Remote Sensing Data in Urban Footprint Mapping of the Coastal City of Jeddah, Saudi Arabia J. Bahrawi et al. https://doi.org/10.1007/s12524-021-01403-9
6. Complex co- and postseismic faulting of the 2017–2018 seismic sequence in western Iran revealed by InSAR and seismic data A. Fathian et al. https://doi.org/10.1016/j.rse.2020.112224
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9. Image Anomalies: A Review and Synthesis of Detection Methods T. Ehret et al. https://doi.org/10.1007/s10851-019-00885-0
10. Application of radar remote sensing for cyclone damage mapping in Bangladesh: a coherence-based approach S. Prova et al. https://doi.org/10.5194/nhess-26-5103-2026
11. SAR-ESAE: Echo Signal-Guided Adversarial Example Generation Method for Synthetic Aperture Radar Target Detection J. Cui et al. https://doi.org/10.3390/rs17173080