Deep Semisupervised Teacher–Student Model Based on Label Propagation for Sea Ice Classification

Deep Semisupervised Teacher–Student Model Based on Label Propagation for Sea Ice Classification

In this article, we propose a novelteacher–student-based label propagation deep semisupervised learning (TSLP-SSL) method for sea ice classification based on Sentinel-1 synthetic aperture radar data. For sea ice classification, labeling the data precisely is very time consuming and requir...

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Bibliographic Details
Main Authors: Salman Khaleghian, Habib Ullah, Thomas Kraemer, Torbjorn Eltoft, Andrea Marinoni
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
earth observation
scarce training data
sea ice classification
semisupervised learning (SSL)
Online Access:https://ieeexplore.ieee.org/document/9573360/

Internet

https://ieeexplore.ieee.org/document/9573360/

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