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...
Main Authors: | Meihan Wu, Qi Wang, Eric Rigall, Kaige Li, Wenbo Zhu, Bo He, Tianhong Yan |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/9/2009 |
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