Optical and SAR data integration for automatic change pattern detection

7 citations as recorded by crossref.

1. Methods in the spatial deep learning: current status and future direction B. Mishra et al.
2. Monitoring chlorophyll-a in Phewa Lake, Nepal using satellite images and ensemble-based learning P. Joshi et al.
3. A Sentinel-1 Based Processing Chain for Detection of Cyclonic Flood Impacts C. Alexandre et al.
4. Extraction and mapping of downpour impact and their Cumulonimbus origin, 20 May 2020, Vâlcea (Romania) via Sentinnel-1 SAR dual polarization K. Hachemi et al.
5. MSCDUNet: A Deep Learning Framework for Built-Up Area Change Detection Integrating Multispectral, SAR, and VHR Data H. Li et al.
6. A review of fusion framework using optical sensors and Synthetic Aperture Radar imagery to detect and map land degradation and sustainable land management in the semi-arid regions D. Sengani et al.
7. Post-War Urban Damage Mapping Using InSAR: The Case of Mosul City in Iraq A. Boloorani et al.