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Similarity metric based feature fusion for active sonar target classification

The Journal of the Acoustical Society of America
We 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
openaire   +1 more source

An Application Of The PNN Algorithm To The Active Classification Of Sonar Targets

OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology, 2005
R.H. Hackman, D.F. Specht
openaire   +1 more source

Research on Feature Extraction and Classification Recognition of Underwater Small Target Active Sonar

2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2023
Jue Shang, Zeng Li Liu
openaire   +1 more source

Automatic Object Classification for Low-Frequency Active Sonar using Convolutional Neural Networks

open access: closed, 2019
Giovanni De Magistris   +7 more
openalex   +1 more source

Synthesis and Classification of Active Sonar Target Signal Using Highlight Model

open access: closed, 2009
Taehwan Kim   +4 more
openalex  

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