Machine Learning Approaches for Coastline Extraction from Sentinel-2 Images: K-Means and K-Nearest Neighbour Algorithms in Comparison

Author:

Alcaras EmanueleORCID,Amoroso Pier PaoloORCID,Figliomeni Francesco GiuseppeORCID,Parente ClaudioORCID,Vallario AndreaORCID

Publisher

Springer International Publishing

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Coastline Automatic Extraction from Medium-Resolution Satellite Images Using Principal Component Analysis (PCA)-Based Approach;Remote Sensing;2024-05-20

2. Using GIS tools to enhance the shape of coastline extracted from Sentinel-2 satellite images;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

3. METHODS FOR SATELLITE DERIVED BATHYMETRY FROM SENTINEL-2 IMAGES: A COMPARISON;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-03-08

4. Multinetwork Algorithm for Coastal Line Segmentation in Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2024

5. A new water index proposal for coastline extraction from Landsat 9 OLI images;2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea);2023-10-04

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