Unsupervised Learning Applied to Sentinel-1 for Shallow Waters Exploration in Galicia (Spain)
Author:
Affiliation:
1. Faculty of Sciences, University of Porto,Department of Geosciences, Environment and Spatial Planning,Porto,Portugal,4169-007
Funder
Fundação para a Ciência e a Tecnologia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641970.pdf?arnumber=10641970
Reference13 articles.
1. GMES Sentinel-1 mission
2. Multitemporal SAR RGB Processing for Sentinel-1 GRD Products: Methodology and Applications
3. A New Method for Cross-Normalization and Multitemporal Visualization of SAR Images for the Detection of Flooded Areas
4. Automatic monitoring of surface water dynamics using Sentinel-1 and Sentinel-2 data with Google Earth Engine
5. Monitoring tidal flats boundaries through combining Sentinel-1 and Sentinel-2 imagery
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