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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Detalles Bibliográficos
Autores principales: Gallego, Antonio-Javier, Gil, Pablo, Pertusa, Antonio, Fisher, Robert B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876930/
https://www.ncbi.nlm.nih.gov/pubmed/29509720
http://dx.doi.org/10.3390/s18030797

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876930/
https://www.ncbi.nlm.nih.gov/pubmed/29509720
http://dx.doi.org/10.3390/s18030797

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