SEGMENTATION OF ENVIRONMENTAL TIME LAPSE IMAGE SEQUENCES FOR THE DETERMINATION OF SHORE LINES CAPTURED BY HAND-HELD SMARTPHONE CAMERAS

7 citations as recorded by crossref.

1. Image processing for hydraulic jump free-surface detection: coupled gradient/machine learning model R. Ljubičić et al. https://doi.org/10.1088/1361-6501/ab8b22
2. Photogrammetric water level determination using smartphone technology M. Elias et al. https://doi.org/10.1111/phor.12280
3. Enhancement of two‐dimensional hydrodynamic modelling based on UAV‐ flow velocity data F. Wolff et al. https://doi.org/10.1002/esp.5853
4. Automatic Image‐Based Water Stage Measurement for Long‐Term Observations in Ungauged Catchments A. Eltner et al. https://doi.org/10.1029/2018WR023913
5. Improving image-based water-level monitoring by coupling water-line detection techniques and the segment anything model C. Fang et al. https://doi.org/10.1016/j.envsoft.2025.106566
6. Low-cost stage-camera system for continuous water-level monitoring in ephemeral streams S. Noto et al. https://doi.org/10.1080/02626667.2022.2079415
7. Histogram-Based Edge Detection for River Coastline Mapping Using UAV-Acquired RGB Imagery G. Walusiak et al. https://doi.org/10.3390/rs16142565