EXTRACTION OF COASTLINES WITH FUZZY APPROACH USING SENTINEL-1 SAR IMAGE

11 citations as recorded by crossref.

1. Coastline extraction from ALOS-2 satellite SAR images P. Hurtik & M. Vajgl 10.1080/2150704X.2021.1944691
2. Uncertainty quantification in genetic algorithm-optimized artificial intelligence-based mineral prospectivity models: automated hyperparameter tuning for support vector machines and random forest M. Daviran et al. 10.1007/s40808-024-02176-z
3. Density based spatial clustering of applications with noise and fuzzy C-means algorithms for unsupervised mineral prospectivity mapping R. Ghezelbash et al. 10.1007/s12145-025-01708-0
4. Foredune defending role: Vulnerability and potential risk through combined satellite and hydrodynamics approach A. Danchenkov et al. 10.1016/j.rsase.2023.100934
5. Coastline Detection Based on Sentinel-1 Time Series for Ship- and Flood-Monitoring Applications R. Pelich et al. 10.1109/LGRS.2020.3008011
6. Delineation of Dynamic Coastal Boundaries in South Africa from Hyper-Temporal Sentinel-2 Imagery M. Bessinger et al. 10.3390/rs17152633
7. SAR data fusion and a novel joint use of neural networks for coastline extraction L. De Laurentiis et al. 10.1080/01431161.2021.1986237
8. New Methodology for Shoreline Extraction Using Optical and Radar (SAR) Satellite Imagery S. Zollini et al. 10.3390/jmse11030627
9. Shoreline Delineation from Synthetic Aperture Radar (SAR) Imagery for High and Low Tidal States in Data-Deficient Niger Delta Region E. Dike et al. 10.3390/jmse11081528
10. U-Net for Taiwan Shoreline Detection from SAR Images L. Chang et al. 10.3390/rs14205135
11. Hybridizing K-means clustering algorithm with harmony search and artificial bee colony optimizers for intelligence mineral prospectivity mapping M. Daviran et al. 10.1007/s12145-023-01019-2