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
Particle Filter-Guided Online Neural Networks for Multi-Target Bearing-Only Tracking in Passive Sonar Systems [PDF]
This study proposes a novel method to address the instability issues in multi-target bearing-only tracking for passive sonar systems. Utilizing a particle filter-guided on-site training mechanism, the complex multi-classification task is simplified into ...
Jianan Wang +4 more
doaj +2 more sources
DP-ViT: A Dual-Path Vision Transformer for Real-Time Sonar Target Detection
Sonar image is the main way for underwater vehicles to obtain environmental information. The task of target detection in sonar images can distinguish multi-class targets in real time and accurately locate them, providing perception information for the ...
Yushan Sun +5 more
doaj +2 more sources
Olympic Coast National Marine Sanctuary Habitat Mapping: Survey report and classification of side scan sonar data from surveys HMPR-114-2004-02 and HMPR-116-2005-01. [PDF]
The Olympic Coast National Marine Sanctuary (OCNMS) continues to invest significant resources into seafloor mapping activities along Washington’s outer coast (Intelmann and Cochrane 2006; Intelmann et al. 2006; Intelmann 2006).
Cochrane, Guy R., Intelmann, Steven S.
core +2 more sources
A Review on Deep Learning-Based Approaches for Automatic Sonar Target Recognition
Underwater acoustics has been implemented mostly in the field of sound navigation and ranging (SONAR) procedures for submarine communication, the examination of maritime assets and environment surveying, target and object recognition, and measurement and
Dhiraj Neupane, Jongwon Seok
exaly +2 more sources
SONAR: Sentence-Level Multimodal and Language-Agnostic Representations [PDF]
We introduce SONAR, a new multilingual and multimodal fixed-size sentence embedding space. Our single text encoder, covering 200 languages, substantially outperforms existing sentence embeddings such as LASER3 and LabSE on the xsim and xsim ...
Paul-Ambroise Duquenne +2 more
semanticscholar +1 more source
When SAM Meets Sonar Images [PDF]
Segment anything model (SAM) has revolutionized the way of segmentation due to its remarkable capacity for generalized segmentation. However, SAM’s performance may decline when applied to tasks involving domains that differ from natural images ...
Lin Wang +6 more
semanticscholar +1 more source
A Dataset with Multibeam Forward-Looking Sonar for Underwater Object Detection [PDF]
Multibeam forward-looking sonar (MFLS) plays an important role in underwater detection. There are several challenges to the research on underwater object detection with MFLS. Firstly, the research is lack of available dataset.
Kaibing Xie, Jian Yang, Kang Qiu
semanticscholar +1 more source
Tensor‐based matched‐field processing applied to the SWellEx‐96 data
This study proposed a matched field source localization method based on tensor decomposition. By considering the advantages of tensors in multidimensional data processing, a three‐dimensional tensor signal model of space‐time‐frequency is constructed ...
Fangwei Zhu +5 more
doaj +1 more source
A method for detecting the early stages of local corrosion processes [PDF]
The article discusses the issues of monitoring the parameters of carbon dioxide corrosion of oil and gas production equipment and pipelines. The features of the main control methods traditionally used in the construction of corrosion monitoring systems ...
Blokhin Vladimir +3 more
doaj +1 more source

