Assessing the Parameterization of RADARSAT-2 Dual-polarized ScanSAR Scenes on the Accuracy of a Convolutional Neural Network for Sea Ice Classification: Case Study over Coronation Gulf, Canada
Arctic amplification has many impacts on sea-ice extent, thickness, and flux. It becomes critical to monitor sea-ice conditions at finer spatio-temporal resolution. We used a simple convolutional neural network (CNN) on the RADARSAT-2 dual-polarized ScanSAR wide archive available over Coronation Gul...
Main Authors: | , , , |
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Format: | Article in Journal/Newspaper |
Language: | unknown |
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Zenodo
2023
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Subjects: | |
Online Access: | https://doi.org/10.5281/zenodo.8350643 |