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Particle Filter-Guided Online Neural Networks for Multi-Target Bearing-Only Tracking in Passive Sonar Systems [PDF]
SensorsThis 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
IEEE Access, 2020 Sidescan sonars are increasingly used in underwater search and rescue for drowning victims, wrecks and airplanes. Automatic object classification or detection methods can help a lot in case of long searches, where sonar operators may feel exhausted and ...
Guanying Huo, Ziyin Wu, Jiabiao Li
exaly +2 more sources
DP-ViT: A Dual-Path Vision Transformer for Real-Time Sonar Target Detection
Remote Sensing, 2022 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
A Review on Deep Learning-Based Approaches for Automatic Sonar Target Recognition
Electronics (Switzerland), 2020 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
Enhanced Fuzzy-Based Local Information Algorithm for Sonar Image Segmentation
IEEE Transactions on Image Processing, 2020 The recent boost in undersea operations has led to the development of high-resolution sonar systems mounted on autonomous vehicles. These vehicles are used to scan the seafloor in search of different objects such as sunken ships, archaeological sites ...
Avi Abu, Roee Diamant
exaly +2 more sources
SONAR: Sentence-Level Multimodal and Language-Agnostic Representations [PDF]
arXiv.org, 2023 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
A Dataset with Multibeam Forward-Looking Sonar for Underwater Object Detection [PDF]
Scientific Data, 2022 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
When SAM Meets Sonar Images [PDF]
IEEE Geoscience and Remote Sensing Letters, 2023 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
Tensor‐based matched‐field processing applied to the SWellEx‐96 data
Electronics Letters, 2023 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]
E3S Web of Conferences, 2019 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
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