Mapping shoreline change using machine learning: a case study from the eastern Indian coast
Author:
Funder
Sponsored Research and Industrial Consultancy
Ministry of Earth Sciences
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
http://link.springer.com/content/pdf/10.1007/s11600-020-00454-9.pdf
Reference112 articles.
1. Acharjya PP, Das R, Ghoshal D (2012) Study and comparison of different edge detectors for image segmentation. Glob J Comput Sci Technol 12:29–32
2. Afzal MS, Bihs H, Kumar L (2020) Computational fluid dynamics modeling of abutment scour under steady current using the level set method. Int J Sediment Res 35:355–364
3. Ahangarha M, Seydi ST, Shahhoseini R (2019) Hyperspectral change detection in wetland and water-body areas based on machine learning. In: International archives of the photogrammetry, remote sensing & spatial information sciences, geospatial conference 2019—joint conferences of SMPR and GI research, vol XLII-4/W18, pp 19–24
4. Ahmadian AS, Simons RR (2018) Estimation of nearshore wave transmission for submerged breakwaters using a data-driven predictive model. Neural Comput Appl 29(10):705–719
5. Alesheikh AA, Ghorbanali A, Nouri N (2007) Coastline change detection using remote sensing. Int J Environ Sci Technol 4(1):61–66
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