A comparative study of Deep Learning architectures for Classification of Natural and Human-made Sea Events in SAR images
Abstract Sea monitoring is essential for a better understanding of its dynamics and to measure the impact of human activities. In this context, remote sensing plays an important role by providing satellite imagery every day, even in critical climate conditions, for the detection of sea events with a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-02-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-022-00017-5 |