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Segmentation of Oil Spills on Side-Looking Airborne Radar Imagery with Autoencoders
In this work, we use deep neural autoencoders to segment oil spills from Side-Looking Airborne Radar (SLAR) imagery. Synthetic Aperture Radar (SAR) has been much exploited for ocean surface monitoring, especially for oil pollution detection, but few approaches in the literature use SLAR. Our sensor...
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| 發表在: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5876930/ https://ncbi.nlm.nih.gov/pubmed/29509720 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18030797 |
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