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Auv-Based Side-Scan Sonar Real-Time Method For Underwater-Target Detection
Social Science Research Network, 2023The 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
Yu-Ting Tang +5 more
semanticscholar +1 more source
Deep Learning Algorithms for Sonar Imagery Analysis and Its Application in Aquaculture: A Review
IEEE Sensors Journal, 2023With the rapid development of underwater sensor techniques, using acoustic techniques to obtain and analyze underwater images is an effective approach due to the superior nature of sonar, especially in turbidity and dim underwater environment.
Yingqian Chai +4 more
semanticscholar +1 more source
Denoising and Inpainting of Sonar Images Using Convolutional Sparse Representation
IEEE Transactions on Instrumentation and Measurement, 2023Recently, sparse representation (SR) techniques have been extensively applied for sound navigation and ranging (sonar) images’ restoration tasks such as denoising and inpainting.
Amit Vishwakarma
semanticscholar +1 more source
Automatic Detection of Underwater Small Targets using Forward-Looking Sonar Images
IEEE Transactions on Geoscience and Remote Sensing, 2022Forward-looking sonar is one of the essential imaging equipment employed in exploring underwater targets. However, it is always challenging to detect targets from sonar images considering the complex environment.
Tianchen Zhou +4 more
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2022
Due to the complexity of the ocean environment, an autonomous underwater vehicle (AUV) is disturbed by obstacles when performing tasks. Therefore, the research on underwater obstacle detection and avoidance is particularly important.
Xiang Cao, Lu Ren, Changyin Sun
semanticscholar +1 more source
Due to the complexity of the ocean environment, an autonomous underwater vehicle (AUV) is disturbed by obstacles when performing tasks. Therefore, the research on underwater obstacle detection and avoidance is particularly important.
Xiang Cao, Lu Ren, Changyin Sun
semanticscholar +1 more source
Side-Scan Sonar Analysis Using ROI Analysis and Deep Neural Networks
IEEE Transactions on Geoscience and Remote Sensing, 2022Side-scan sonar generates an image based on the reflection of sound waves. The reflection takes place with the first encountered object, which, in practice, may be a passing fish or even a wave from the boat turbine. Therefore, such data are sensitive to
Dawid Połap +2 more
semanticscholar +1 more source
MLFFNet: Multilevel Feature Fusion Network for Object Detection in Sonar Images
IEEE Transactions on Geoscience and Remote Sensing, 2022Sonar image object detection is essential in underwater rescue and resource exploration. Although many convolution neural network (CNN)-based object detection algorithms have achieved great success in natural images. However, for underwater sonar images,
Zhen Wang +4 more
semanticscholar +1 more source
2023
Accurate and comprehensive nursing documentation is essential to ensure quality patient care. To streamline this process, we present SONAR, a publicly available dataset of nursing activities recorded using inertial sensors in a nursing home. The dataset includes 14 sensor streams, such as acceleration and angular velocity, and 23 activities recorded by
Konak, Orhan (Dr.) +12 more
openaire +1 more source
Accurate and comprehensive nursing documentation is essential to ensure quality patient care. To streamline this process, we present SONAR, a publicly available dataset of nursing activities recorded using inertial sensors in a nursing home. The dataset includes 14 sensor streams, such as acceleration and angular velocity, and 23 activities recorded by
Konak, Orhan (Dr.) +12 more
openaire +1 more source

