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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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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6540294/ https://ncbi.nlm.nih.gov/pubmed/31035673 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19092009 |
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