Shipwreck Target Recognition in Side-Scan Sonar Images by Improved YOLOv3 Model Based on Transfer Learning

Shipwreck Target Recognition in Side-Scan Sonar Images by Improved YOLOv3 Model Based on Transfer Learning

When used to recognize side-scan sonar images of shipwreck targets, the Faster R-CNN model is time-consuming and has low efficiency and a high missed detection rate for small targets. Considering that existing datasets of side-scan sonar images of shipwreck targets are small, we propose a YOLOv3 mod...

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Bibliographic Details
Main Authors: Tang Yulin, Shaohua Jin, Gang Bian, Yonghou Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Side-scan sonar shipwreck target
YOLOv3~model
transfer learning
shallow feature fusion
K-means clustering algorithm
binary classification cross entropy
Online Access:https://ieeexplore.ieee.org/document/9200467/

Internet

https://ieeexplore.ieee.org/document/9200467/

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