Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5

Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5

To overcome the shortcomings of the traditional manual detection of underwater targets in side-scan sonar (SSS) images, a real-time automatic target recognition (ATR) method is proposed in this paper. This method consists of image preprocessing, sampling, ATR by integration of the transformer module...

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Bibliographic Details
Main Authors: Yongcan Yu, Jianhu Zhao, Quanhua Gong, Chao Huang, Gen Zheng, Jinye Ma
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
sonar automatic target recognition (ATR)
real time
underwater maritime object
deep learning
side-scan sonar images
Online Access:https://www.mdpi.com/2072-4292/13/18/3555

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