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Underwater Optical-Sonar Image Fusion Systems [PDF]
Sensors, 2022 Unmanned underwater operations using remotely operated vehicles or unmanned surface vehicles are increasing in recent times, and this guarantees human safety and work efficiency. Optical cameras and multi-beam sonars are generally used as imaging sensors
Hong-Gi Kim, Jungmin Seo, Soo Mee Kim
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Data augmentation using image translation for underwater sonar image segmentation. [PDF]
PLoS ONE, 2022 In underwater environment, the study of object recognition is an important basis for implementing an underwater unmanned vessel. For this purpose, abundant experimental data to train deep learning model is required.
Eon-Ho Lee +5 more
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Side-Scan Sonar Image Segmentation Based on Multi-Channel CNN for AUV Navigation. [PDF]
Front Neurorobot, 2022 The AUV (Autonomous Underwater Vehicle) navigation process relies on the interaction of a variety of sensors. The side-scan sonar can collect underwater images and obtain semantic underwater environment information after processing, which will help ...
Yang D, Cheng C, Wang C, Pan G, Zhang F.
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A Texture Feature Removal Network for Sonar Image Classification and Detection
Remote Sensing, 2023 Deep neural network (DNN) was applied in sonar image target recognition tasks, but it is very difficult to obtain enough sonar images that contain a target; as a result, the direct use of a small amount of data to train a DNN will cause overfitting and ...
Chuanlong Li +3 more
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Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body [PDF]
Sensors, 2019 Auto-detecting a submerged human body underwater is very challenging with the absolute necessity to a diver or a submersible. For the vision sensor, the water turbidity and limited light condition make it difficult to take clear images.
Huu-Thu Nguyen, Eon-Ho Lee, Sejin Lee
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Remote SensingSonar is a valuable tool for ocean exploration since it can obtain a wealth of data. With the development of intelligent technology, deep learning has brought new vitality to underwater sonar image classification.
Ye Peng +5 more
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SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars
2024 IEEE International Conference on Robotics and Automation (ICRA), 2023 In this paper, we address the challenging problem of data association for underwater SLAM through a novel method for sonar image correspondence using learned features. We introduce SONIC (SONar Image Correspondence), a pose-supervised network designed to
Samiran Gode +2 more
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Small-Sample Sonar Image Classification Based on Deep Learning
Journal of Marine Science and Engineering, 2022 Deep learning is a core technology for sonar image classification. However, owing to the cost of sampling, a lack of data for sonar image classification impedes the training and deployment of classifiers. Classic deep learning models such as AlexNet, VGG,
Zezhou Dai, Hong Liang, Tong Duan
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Remote Sensing, 2022 With the development of sonar technology, sonar images have been widely used to detect targets. However, there are many challenges for sonar images in terms of object detection.
Jier Xi, Xiufen Ye, Chuanlong Li
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A Side-Scan Sonar Image Synthesis Method Based on a Diffusion Model
Journal of Marine Science and Engineering, 2023 The limited number and under-representation of side-scan sonar samples hinders the training of high-performance underwater object detection models. To address this issue, in this paper, we propose a diffusion model-based method to augment side-scan sonar
Zhiwei Yang +4 more
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