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Similarity-Based Perceptual Feature Identification for Active Sonar Signal Classification
The Journal of the Acoustical Society of America, 2008In many acoustic signal processing applications human listeners are able to outperform automated processing techniques, particularly in the identification and classification of acoustic events. This paper develops a framework for employing perceptual information from human listening experiments to improve automatic classification of active sonar ...
Scott M. Philips, James W. Pitton
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Automatic classification of active sonar data using time-frequency transforms
[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, 2003Automatic classification of active sonar signals using the Wigner-Ville transform (WVT), the wavelet transform (WT) and the scalogram is addressed. Features are extracted by integrating over regions in the time-frequency (TF) distribution, and are classified by a decision tree.
F. Lari, A. Zakhor
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Sequential classification of active sonar returns from systematically distributed objects
'Challenges of Our Changing Global Environment'. Conference Proceedings. OCEANS '95 MTS/IEEE, 2002Active sonar returns as seen on a range-bearing display often show objects distributed in range and bearing. Objects may also be distributed and depth but these show up as being distributed in range and bearing unless depth can be estimated with sufficient accuracy.
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A waveguide invariant adaptive matched filter for active sonar target depth classification
The Journal of the Acoustical Society of America, 2011This paper addresses depth discrimination of a water column target from bottom clutter discretes in wideband active sonar. To facilitate classification, the waveguide invariant property is used to derive multiple snapshots by uniformly sub-sampling the short-time Fourier transform (STFT) coefficients of a single ping of wideband active sonar data.
Ryan, Goldhahn +2 more
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An experiment to investigate aural classification of coherent-source active sonar data
The Journal of the Acoustical Society of America, 2007Active sonar performance is degraded by the presence of environmental clutter objects, which lead to false alarm echoes. Earlier research suggests that perceptual signal features similar to those employed in the human auditory system can be used to automatically discriminate between impulsive-source target and clutter echoes, thereby improving sonar ...
Victor W. Young +2 more
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Automatic Object Classification for Low-Frequency Active Sonar using Convolutional Neural Networks
OCEANS 2019 MTS/IEEE SEATTLE, 2019Neural Networks are proposed to classify underwater objects from active sonar system data collected for underwater surveillance. The raw signal is processed, transformed in the time-frequency domain and classified (object of interest/clutter). The values of the neural network parameters (weights and biases) are learned using data collected during two ...
Giovanni de Magistris +7 more
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The Journal of the Acoustical Society of America, 2007
Active sonar reverberation level (RL) uncertainty is exacerbated in shallow water by multipath propagation and multiple interactions with the bottom. This affects, for example, the statistics of split-window RL estimates used for cell-averaging constant false alarm rate (CA-CFAR) normalization of A-scan returns.
Ryan Goldhahn +3 more
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Active sonar reverberation level (RL) uncertainty is exacerbated in shallow water by multipath propagation and multiple interactions with the bottom. This affects, for example, the statistics of split-window RL estimates used for cell-averaging constant false alarm rate (CA-CFAR) normalization of A-scan returns.
Ryan Goldhahn +3 more
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Classification of Clutter Types in Active Sonar Using Spatial Image Processing Techniques
OCEANS 2007 - Europe, 2007Clutter (e.g., reverberation and bottom structures) can lead to excessive false alarm rates (identifying clutter as submarines) in antisubmarine warfare (ASW) active sonar systems. False alarm reduction is an important marine challenge in an era where ASW has shifted from noisy submarines in deep waters to quiet submarines in highly cluttered littoral ...
Ross E. Heath +2 more
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Performance improvement of active sonar target classification using feature fusion
INTER-NOISE and NOISE-CON Congress and Conference ProceedingsIn this study, we propose a neural network architecture considering feature fusion to improve active sonar target classification, where training data is scarce. We use various hand-crafted features with different perspectives for the active sonar one- and two-dimention raw data to enhance target classification performance. We use two kinds of features,
Young-Sang HWANG +4 more
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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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