Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning

Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning

Through the Synthetic Aperture Radar (SAR) embarked on the satellites Sentinel-1A and Sentinel-1B of the Copernicus program, a large quantity of observations is routinely acquired over the oceans. A wide range of features from both oceanic (e.g., biological slicks, icebergs, etc.) and meteorologic o...

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Bibliographic Details
Main Authors: Aurélien Colin, Ronan Fablet, Pierre Tandeo, Romain Husson, Charles Peureux, Nicolas Longépé, Alexis Mouche
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
SAR
segmentation
metocean
deep learning
supervised learning
weakly-supervised learning
Online Access:https://www.mdpi.com/2072-4292/14/4/851

Internet

https://www.mdpi.com/2072-4292/14/4/851

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