A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance

This paper presents a comprehensive overview of current deep-learning methods for automatic object classification of underwater sonar data for shoreline surveillance, concentrating mostly on the classification of vessels from passive sonar data and the identification of objects of interest from acti...

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Detalles Bibliográficos
Autores principales: Domingos, Lucas C. F., Santos, Paulo E., Skelton, Phillip S. M., Brinkworth, Russell S. A., Sammut, Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954367/
https://www.ncbi.nlm.nih.gov/pubmed/35336352
http://dx.doi.org/10.3390/s22062181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954367/
https://www.ncbi.nlm.nih.gov/pubmed/35336352
http://dx.doi.org/10.3390/s22062181

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