ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation

This paper presents a novel and practical convolutional neural network architecture to implement semantic segmentation for side scan sonar (SSS) image. As a widely used sensor for marine survey, SSS provides higher-resolution images of the seafloor and underwater target. However, for a large number...

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Detalles Bibliográficos
Autores principales: Wu, Meihan, Wang, Qi, Rigall, Eric, Li, Kaige, Zhu, Wenbo, He, Bo, Yan, Tianhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540294/
https://www.ncbi.nlm.nih.gov/pubmed/31035673
http://dx.doi.org/10.3390/s19092009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540294/
https://www.ncbi.nlm.nih.gov/pubmed/31035673
http://dx.doi.org/10.3390/s19092009

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