Results 11 to 20 of about 48,682 (230)
Active Object Detection in Sonar Images
Object detection in sonar images has always been a challenge due to the low resolution of sonar images and the strong noise existing in them. Although convolutional neural networks (CNNs) have been applied to detect objects in sonar images, successful ...
Longyu Jiang +4 more
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A Track Initiation Method Based on Multiple Accumulation of Active Sonar Images
To meet the requirements of autonomous detection of underwater moving targets in a strong reverberation background, a track initiation algorithm based on multiple accumulations of active sonar images was proposed to solve the problem of large amounts of ...
Kai WANG, Junsheng JIAO
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Among so‐called active sensors that use self‐generated signals, sonar sensors are more challenging to implement than lidar and radar due in part to their limited angular field of sensing. A common solution to this challenge is scanning sensors that sweep
Masoud Jahromi Shirazi, Nicole Abaid
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For decades, the soft-kill strategy which detects high-speed underwater targets with passive sonar and attract the targets using decoys has been used. However, recently, the paradigm to respond to the high-speed underwater targets is shifting to a hard ...
Jinuk Park +3 more
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Robust adaptive beamforming method for active sonar in single snapshot [PDF]
Forming narrow beams is a useful way for active sonar to anti-reverberation when it works in the shallow water. High-resolution adaptive beamforming with the performance of narrow beamwidths and low sidelobe levels is a better and more efficient method ...
Sun Xu, Li Ranwei
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Bi-Sphere Anomaly Detection With Learnable Centroid for Active Sonar Classification
Machine learning (ML)-based approaches are desirable for discriminating targets from clutter signals to enhance the performance of active sonar systems.
Geunhwan Kim, Youngmin Choo
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Study on Small Samples Active Sonar Target Recognition Based on Deep Learning
Underwater target classification methods based on deep learning suffer from obvious model overfitting and low recognition accuracy in the case of small samples and complex underwater environments.
Yule Chen, Hong Liang, Shuo Pang
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Study on Active Tracking of Underwater Acoustic Target Based on Deep Convolution Neural Network
The active tracking technology of underwater acoustic targets is an important research direction in the field of underwater acoustic signal processing and sonar, and it has always been issued that draws researchers’ attention.
Maofa Wang +4 more
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Controlled exposure experiments (CEEs) have demonstrated that naval pulsed active sonar (PAS) can induce costly behavioral responses in cetaceans similar to antipredator responses. New generation continuous active sonars (CAS) emit lower amplitude levels
Charlotte Curé +10 more
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Abstract The Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particularly people with visual disabilities.
Hania Tarik +8 more
wiley +1 more source

