AUV-Based Side-Scan Sonar Real-Time Method for Underwater-Target Detection
The limitations of underwater acoustic communications mean that the side-scan sonar data of an autonomous underwater vehicle (AUV) cannot be transmitted back and processed in real time, which means that targets cannot be detected in real time. To address
Yulin Tang +5 more
doaj +2 more sources
Sample Augmentation Method for Side-Scan Sonar Underwater Target Images Based on CBL-sinGAN
The scarcity and difficulty in acquiring Side-scan sonar target images limit the application of deep learning algorithms in Side-scan sonar target detection.
Chengyang Peng +4 more
doaj +2 more sources
DS-SIAUG: A Self-Training Approach Using a Disrupted Student Model for Enhanced Side-Scan Sonar Image Augmentation [PDF]
Side-scan sonar is a principal technique for subsea target detection, where the quantity of sonar images of seabed targets significantly influences the accuracy of intelligent target recognition.
Chengyang Peng +3 more
doaj +2 more sources
A fully‐automatic side‐scan sonar simultaneous localization and mapping framework [PDF]
Side‐scan sonar is a lightweight acoustic sensor that is frequently deployed on autonomous underwater vehicles (AUVs) to provide high‐resolution seafloor images.
Jun Zhang +3 more
doaj +2 more sources
A Mapping Method Fusing Forward-Looking Sonar and Side-Scan Sonar
In modern ocean exploration, forward-looking sonar (FLS) provides real-time 2D imaging of the seabed ahead, but its detection range is relatively limited.
Hong Liu +3 more
doaj +2 more sources
A Curvelet-Transform-Based Image Fusion Method Incorporating Side-Scan Sonar Image Features
Current methods of fusing side-scan sonar images fail to tackle the issues of shadow removal, preservation of information from adjacent strip images, and maintenance of image clarity and contrast. To address these deficiencies, a novel curvelet-transform-
Xinyang Zhao +5 more
doaj +2 more sources
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,
Yongcan Yu, Jianhu Zhao, Chao Huang
exaly +2 more sources
Small object detection in side-scan sonar images based on SOCA-YOLO and image restoration
Although side-scan sonar can provide wide and high-resolution views of submarine terrain and objects, it suffers from severe interference due to complex environmental noise, variations in sonar configuration (such as frequency, beam pattern, etc.), and ...
Xiaodong Cui +4 more
doaj +2 more sources
Alluvial substrate mapping by automated texture segmentation of recreational-grade side scan sonar imagery. [PDF]
Side scan sonar in low-cost 'fishfinder' systems has become popular in aquatic ecology and sedimentology for imaging submerged riverbed sediment at coverages and resolutions sufficient to relate bed texture to grain-size.
Daniel Hamill +2 more
doaj +2 more sources
Review: Marine Seismic And Side-Scan Sonar Investigations For Seabed Identification With Sonar System [PDF]
Marine seismic reflection data have been collected for decades and since the mid-to late- 1980s much of this data is positioned relatively accurately.
Muhammad Zainuddin Lubis +3 more
doaj +6 more sources

