Side-scan sonar underwater target segmentation using the BHP-UNet
Abstract Although target detection algorithms based on deep learning have achieved good results in the detection of side-scan sonar underwater targets, their false and missed detection rates are high for multiple densely arranged and overlapping underwater targets. To address this problem, a side-sc...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-06-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13634-023-01040-z |