Results 11 to 20 of about 21,051 (188)
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 +4 more
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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
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Remote Sensing, 2023 The upper part of the Krka River estuary and Prokljan Lake are a specific example of a well-stratified estuarine environment in a submerged river canyon.
Ozren Hasan +5 more
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HMM-Based Underwater Target Classification with Synthesized Active Sonar Signals [PDF]
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2011 Publication in the conference proceedings of EUSIPCO, Barcelona, Spain ...
Bae, Keun Sung, Kim, Taehwan
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Acoustics in water: synergies with marine biology [PDF]
, 2016 This paper presents some of the bioacoustics related analysis that was performed on the ANTARES data, focussing on the year 2014. The data was processed for sperm whale, dolphin and shipping presence and grouped by hour of the day.
André, Michel +7 more
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Applied Sciences, 2018 Discriminating a real underwater target echo from a synthetic echo is a key challenge to identifying an underwater target. The structure of an echo envelope contains information which closely relates to the physical parameters of the underwater target ...
Yunfei Chen +4 more
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IEEE Access, 2020 Artificial lateral lines are fluid flow sensor arrays, bio-inspired by the fish lateral line organ, that measure a local hydrodynamic environment. These arrays are used to detect objects in water, without relying on light, sound, or on an active beacon ...
Ben J. Wolf +3 more
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Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures [PDF]
, 2018 Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification.
Fioranelli, Francesco +3 more
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Efficient Approach for OS-CFAR 2D Technique Using Distributive Histograms and Breakdown Point Optimal Concept applied to Acoustic Images [PDF]
, 2019 In this work, a new approach to improve the algorithmic efficiency of the Order Statistic-Constant False Alarm Rate (OS-CFAR) applied in two dimensions (2D) is presented.
Acosta, Gerardo Gabriel +3 more
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Feature diversity for optimized human micro-doppler classification using multistatic radar [PDF]
, 2017 This paper investigates the selection of different combinations of features at different multistatic radar nodes, depending on scenario parameters, such as aspect angle to the target and signal-to-noise ratio, and radar parameters, such as dwell time ...
Fioranelli, Francesco +3 more
core +2 more sources