A REVIEW AND TEST OF SHORELINE EXTRACTION TECHNIQUES

11 citations as recorded by crossref.

1. Spatiotemporal Analysis of Shoreline Dynamics Using Satellite Imagery and Geospatial Tools: a Case Study of the Coast of Sfax, Tunisia H. Sahnoun et al. https://doi.org/10.1007/s41748-025-00839-0
2. Automated Shoreline Segmentation in Satellite Imagery Using USV Measurements A. Jaszcz et al. https://doi.org/10.3390/rs16234457
3. BDCN_UNet: Advanced shoreline extraction techniques integrating deep learning A. Mahmoud et al. https://doi.org/10.1007/s12145-024-01693-w
4. Deep learning–based water body extraction using high-resolution RGB-UAV imagery: a case study on Horseshoe Island, Antarctica M. Selbesoğlu et al. https://doi.org/10.1007/s10661-026-15519-3
5. Satellite-Based Multi-Decadal Shoreline Change Detection by Integrating Deep Learning with DSAS: Eastern and Southern Coastal Regions of Peninsular Malaysia S. Khurram et al. https://doi.org/10.3390/rs17193334
6. UAS-Validated Comparison of Sentinel-2 Shoreline Extraction Techniques for Large-Lake Coastal Mapping M. Elmeligy et al. https://doi.org/10.3390/technologies14080459
7. UAV and photogrammetric techniques to study shoreline changes in the high Arctic as exemplified by the Kaffiøyra region, Svalbard K. Czarnecki & I. Sobota https://doi.org/10.1002/esp.70037
8. Understanding shoreline shifts along Romania's southern black sea coast: a multidecadal (1984–2024) satellite-based analysis A. Toma et al. https://doi.org/10.1080/10106049.2026.2690704
9. Deep Learning-Based Automated Coastline Extraction From Satellite Imagery: A Sentinel-2 Benchmark Dataset Approach T. Hu et al. https://doi.org/10.1109/JSTARS.2026.3677791
10. Integration of Remote Sensing and Photogrammetry as a Solution for Studying Shoreline Change in NW Spitsbergen, Svalbard K. Czarnecki & I. Sobota https://doi.org/10.1007/s12237-026-01682-w
11. Comparison of efficiency of spectral (NDWI) and SAR (GRD) method in shoreline detection: A novel method of integrating GRD and SLC products of sentinel-1 satellite R. Shamsaie & D. Ghaderi https://doi.org/10.1016/j.rsma.2025.104132