Results 11 to 20 of about 4,113,395 (325)

Active Object Detection in Sonar Images [PDF]

IEEE Access, 2020
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, Tao Cai, Qixiang Ma, Fanjin Xu, Shijie Wang   +4 more
doaj   +3 more sources

Study on Small Samples Active Sonar Target Recognition Based on Deep Learning

Journal of Marine Science and Engineering, 2022
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
doaj   +2 more sources

Severity Scoring of Behavioral Responses of Sperm Whales (Physeter macrocephalus) to Novel Continuous versus Conventional Pulsed Active Sonar

Journal of Marine Science and Engineering, 2021
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, Saana Isojunno, Marije L. Siemensma, Paul J. Wensveen, Célia Buisson, Lise D. Sivle, Benjamin Benti, Rune Roland, Petter H. Kvadsheim, Frans-Peter A. Lam, Patrick J. O. Miller   +10 more
doaj   +2 more sources

Active sonar target recognition method based on multi‐domain transformations and attention‐based fusion network

IET Radar, Sonar & Navigation
The classification and recognition of underwater targets by an active sonar system remain challenging and complex. Traditional methods have limited classification performance in time and spatially varying ocean channels.
Qingcui Wang, Shuanping Du, Wei Zhang, Fangyong Wang   +3 more
doaj   +2 more sources

Attention-Based Complementary Learning for Active Target Classification With Limited Sonar Data

IEEE Access
We propose an active sonar target classifier using attention-based complementary learning (ABCL) to mitigate poor generalization with scarce active sonar data.
Youngsang Hwang, Geunhwan Kim, Sungjin Shin, Wooyoung Hong, Youngmin Choo   +4 more
doaj   +2 more sources

An Iterative Deconvolution-Time Reversal Method with Noise Reduction, a High Resolution and Sidelobe Suppression for Active Sonar in Shallow Water Environments [PDF]

Sensors, 2020
Matched filtering is widely used in active sonar because of its simplicity and ease of implementation. However, the resolution performance generally depends on the transmitted waveform.
Chun-Xiao Li, Ming-Fei Guo, Hang-Fang Zhao   +2 more
doaj   +2 more sources

A risk function for behavioral disruption of Blainville's beaked whales (Mesoplodon densirostris) from mid-frequency active sonar. [PDF]

PLoS ONE, 2014
There is increasing concern about the potential effects of noise pollution on marine life in the world's oceans. For marine mammals, anthropogenic sounds may cause behavioral disruption, and this can be quantified using a risk function that relates sound
David Moretti, Len Thomas, Tiago Marques, John Harwood, Ashley Dilley, Bert Neales, Jessica Shaffer, Elena McCarthy, Leslie New, Susan Jarvis, Ronald Morrissey   +10 more
doaj   +2 more sources

Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications

한국해양공학회지, 2020
Underwater acoustics, which is the study of phenomena related to sound waves in water, has been applied mainly in research on the use of sound navigation and range (SONAR) systems for communication, target detection, investigation of marine resources and
Haesang Yang, Sung-Hoon Byun, Keunhwa Lee, Youngmin Choo, Kookhyun Kim   +4 more
doaj   +2 more sources

Behavioral responses of satellite tracked Blainville's beaked whales ( Mesoplodon densirostris ) to mid‐frequency active sonar [PDF]

Marine mammal science, 2019
Funding support for tagging was provided by the US Navy's Office of Naval Research and Living Marine Resources program, the Chief of Naval Operations' Energy and Environmental Readiness Division and the NOAA Fisheries Ocean Acoustics Program.
T. Joyce, J. Durban, D. Claridge, Charlotte A. Dunn, L. Hickmott, H. Fearnbach, K. Dolan, D. Moretti   +7 more
semanticscholar   +2 more sources

Effective Data Augmentation for Active Sonar Classification Using Attention-Based Complementary Learning With Uncertainty Measure

IEEE Access
We enhance the performance of active sonar classification by integrating a validated attention-based complementary learning model (ABCL) with an active learning (AL) framework, following modifications to adapt the model for AL.
Youngsang Hwang, Geunhwan Kim, Wooyoung Hong, Youngmin Choo   +3 more
doaj   +2 more sources