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A Deep-Learning Framework for the Detection of Oil Spills from SAR Data
Oil leaks onto water surfaces from big tankers, ships, and pipeline cracks cause considerable damage and harm to the marine environment. Synthetic Aperture Radar (SAR) images provide an approximate representation for target scenes, including sea and land surfaces, ships, oil spills, and look-alikes....
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8036558/ https://ncbi.nlm.nih.gov/pubmed/33800565 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21072351 |
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