Unsupervised classification based approach for coastline extraction from Sentinel-2 imagery-Reference-Cited by-同舟云学术

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Unsupervised classification based approach for coastline extraction from Sentinel-2 imagery

Published:2021-10-04 Issue: Volume: Page:
ISSN:
Container-title:2021 International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)
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Author:

Alcaras Emanuele,Amoroso Pier Paolo,Baiocchi Valerio,Falchi Ugo,Parente Claudio

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9611368/9611546/09611583.pdf?arnumber=9611583

Cited by 10 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. Modeling and Accuracy Assessment of Determining the Coastline Course Using Geodetic, Photogrammetric and Satellite Measurement Methods: Case Study in Gdynia Beach in Poland;Electronics;2024-01-19

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

5. High-Resolution Real-Time Coastline Detection Using GNSS RTK, Optical, and Thermal SfM Photogrammetric Data in the Po River Delta, Italy;Remote Sensing;2023-11-14

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