Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks

Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks

We explore new and existing convolutional neural network (CNN) architectures for sea ice classification using Sentinel-1 (S1) synthetic aperture radar (SAR) data by investigating two key challenges: binary sea ice versus open-water classification, and a multi-class sea ice type classification. The a...

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Bibliographic Details
Main Authors: Salman Khaleghian, Habib Ullah, Thomas Kræmer, Nick Hughes, Torbjørn Eltoft, Andrea Marinoni
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
convolutional neural network
ice edge detection
polar region
Sentinel-1
sea ice classification
synthetic aperture radar
Online Access:https://www.mdpi.com/2072-4292/13/9/1734

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