Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks
A new algorithm for classification of sea ice types on Sentinel-1 Synthetic Aperture Radar (SAR) data using a convolutional neural network (CNN) is presented. The CNN is trained on reference ice charts produced by human experts and compared with an existing machine learning algorithm based on textur...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/12/13/2165 |
| _version_ | 1797563157265252352 |
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| author | Hugo Boulze Anton Korosov Julien Brajard |
| author_facet | Hugo Boulze Anton Korosov Julien Brajard |
| author_sort | Hugo Boulze |
| collection | DOAJ |
| description | A new algorithm for classification of sea ice types on Sentinel-1 Synthetic Aperture Radar (SAR) data using a convolutional neural network (CNN) is presented. The CNN is trained on reference ice charts produced by human experts and compared with an existing machine learning algorithm based on texture features and random forest classifier. The CNN is trained on two datasets in 2018 and 2020 for retrieval of four classes: ice free, young ice, first-year ice and old ice. The accuracy of our classification is 90.5% for the 2018-dataset and 91.6% for the 2020-dataset. The uncertainty is a bit higher for young ice (85%/76% accuracy in 2018/2020) and first-year ice (86%/84% accuracy in 2018/2020). Our algorithm outperforms the existing random forest product for each ice type. It has also proved to be more efficient in computing time and less sensitive to the noise in SAR data. The code is publicly available. |
| first_indexed | 2024-03-10T18:38:38Z |
| format | Article |
| id | doaj.art-881838aee22b4b5cafb7adde3a74dabf |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T18:38:38Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-881838aee22b4b5cafb7adde3a74dabf2023-11-20T06:01:29ZengMDPI AGRemote Sensing2072-42922020-07-011213216510.3390/rs12132165Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural NetworksHugo Boulze0Anton Korosov1Julien Brajard2École Nationale des Sciences Géographiques, Univ. Gustave Eiffel, 77455 Marne-la-Vallée, FranceNansen Environmental and Remote Sensing Center, 5006 Bergen, NorwayNansen Environmental and Remote Sensing Center, 5006 Bergen, NorwayA new algorithm for classification of sea ice types on Sentinel-1 Synthetic Aperture Radar (SAR) data using a convolutional neural network (CNN) is presented. The CNN is trained on reference ice charts produced by human experts and compared with an existing machine learning algorithm based on texture features and random forest classifier. The CNN is trained on two datasets in 2018 and 2020 for retrieval of four classes: ice free, young ice, first-year ice and old ice. The accuracy of our classification is 90.5% for the 2018-dataset and 91.6% for the 2020-dataset. The uncertainty is a bit higher for young ice (85%/76% accuracy in 2018/2020) and first-year ice (86%/84% accuracy in 2018/2020). Our algorithm outperforms the existing random forest product for each ice type. It has also proved to be more efficient in computing time and less sensitive to the noise in SAR data. The code is publicly available.https://www.mdpi.com/2072-4292/12/13/2165convolutional neural networkSentinel-1SARsea ice typeice chartArctic |
| spellingShingle | Hugo Boulze Anton Korosov Julien Brajard Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks Remote Sensing convolutional neural network Sentinel-1 SAR sea ice type ice chart Arctic |
| title | Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks |
| title_full | Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks |
| title_fullStr | Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks |
| title_full_unstemmed | Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks |
| title_short | Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks |
| title_sort | classification of sea ice types in sentinel 1 sar data using convolutional neural networks |
| topic | convolutional neural network Sentinel-1 SAR sea ice type ice chart Arctic |
| url | https://www.mdpi.com/2072-4292/12/13/2165 |
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