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Underwater Optical-Sonar Image Fusion Systems [PDF]
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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Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body [PDF]
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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A Texture Feature Removal Network for Sonar Image Classification and Detection
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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Small-Sample Sonar Image Classification Based on Deep Learning
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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Data augmentation using image translation for underwater sonar image segmentation. [PDF]
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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Sonar 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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A review on the wavelet methods for sonar image segmentation
The sonar image segmentation is needed such as in underwater object orientation and recognition, in collision prevention and navigation of underwater robots, in underwater investigation and rescue, in seafloor object seeking, in seafloor salvage, and in ...
Yuanyuan Tian, Luyu Lan, Haitao Guo
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A Novel Lightweight Algorithm for Sonar Image Recognition [PDF]
Sonar images possess characteristics such as low resolution, high noise, and blurred edges. Utilizing CNNs would lead to problems such as inadequate target recognition accuracy.
Gang Wan +6 more
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SONAR IMAGE RECOGNITION BASED ON MACHINE LEARNING FRAMEWORK [PDF]
In order to improve the robustness and generalization ability of model recognition, sonar images are enhanced by preprocessing such as conversion coordinates, interpolation, denoising and enhancement, and the transfer learning method under the Caffe ...
M. Dong, H. Qiu, H. Wang, P. Zhi, Z. Xu
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Radar and Sonar Imaging and Processing [PDF]
The 21 papers (from 61 submitted) published in the Special Issue “Radar and Sonar Imaging Processing” highlighted a variety of topics related to remote sensing with radar and sonar sensors. The sequence of articles included in the SI dealt with a broad profile of aspects of the use of radar and sonar images in line with the latest scientific trends ...
Andrzej Stateczny +2 more
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