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...
Published in: | Canadian Journal of Remote Sensing |
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Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English French |
Published: |
Taylor & Francis Group
2023
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Subjects: | |
Online Access: | https://doi.org/10.1080/07038992.2023.2247091 https://doaj.org/article/85d573f39c6942e7834ea5413f0d33f6 |