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Similarity metric based feature fusion for active sonar target classification
The Journal of the Acoustical Society of AmericaWe propose a novel multi-feature fusion strategy that selectively merges hand-crafted acoustic features with low inter-feature similarity to enhance active sonar classification in data-scarce scenarios. While deep learning models typically learn latent representations automatically, the limited availability of active sonar data necessitates reliance on
Mingu Kang, Youngmin Choo
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An Application Of The PNN Algorithm To The Active Classification Of Sonar Targets
OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology, 2005R.H. Hackman, D.F. Specht
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2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2023
Jue Shang, Zeng Li Liu
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Jue Shang, Zeng Li Liu
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A multi-order Fractional Fourier domain feature union method for active sonar target classification
Tongjing Sun +4 more
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Automatic Object Classification for Low-Frequency Active Sonar using Convolutional Neural Networks
Giovanni De Magistris +7 more
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Classification of Clutter Types in Active Sonar Using Spatial Image Processing Techniques
Ross Evan Heath +2 more
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Synthesis and Classification of Active Sonar Target Signal Using Highlight Model
Taehwan Kim +4 more
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