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Pseudo-hybrid PDF estimators for active sonar classification
The Journal of the Acoustical Society of America, 2003A class of multivariate PDF estimators for use in feature-based target classification in active sonar is presented. The goal is to develop a method that (1) preserves feature identity, (2) captures complex data structures and tails using non-parametric estimates, (3) utilizes parametric models for higher-order inter-feature dependencies, and (4 ...
James M. Gelb +2 more
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Human Activity Classification in Underwater using Sonar and Deep Learning
Proceedings of the International Conference on Underwater Networks & Systems, 2019In this paper, we study the classification of human activity on the surface of a body of water using sonar. In particular, we investigate the classification of three different swimming styles; freestyle, butterfly, and backstroke. Experiments are conducted in a swimming pool to capture acoustic micro-Doppler signatures produced by the different ...
Hovannes Kulhandjian +3 more
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Active sonar target classification using a physics-cognizant feature representation
The Journal of the Acoustical Society of America, 2021Active sonar target classification is challenging due to the non-linear overlap of changing oceanic and target parameters, creating entangled acoustic color spectra that should be disentangled prior to classification. A physics-cognizant feature extraction algorithm, used before interfacing with three machine learning techniques for active sonar target
Bernice Kubicek +2 more
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Application of musical timbre discrimination features to active sonar classification
The Journal of the Acoustical Society of America, 2005In musical acoustics significant effort has been devoted to uncovering the physical basis of timbre perception. Most investigations into timbre rely on multidimensional scaling (MDS), in which different musical sounds are arranged as points in multidimensional space.
Victor W. Young +2 more
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Optimum object classification with active sonar: new theoretical results
IEEE International Conference on Systems Engineering, 2002The active sonar classification problem is considered. To perform active classification, a known waveform is transmitted into a medium and directed towards a region called the test volume. An array of sensors is used to pick up the backscattered signal energy reflected from the cells of the test volume.
J.G. Kelly +3 more
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Waveguide invariant minimum variance scatterer depth classification for active sonar.
The Journal of the Acoustical Society of America, 2010Active sonar systems are plagued by false alarms due to confusion between returns from water-column targets and backscatter from the bottom. Both feature-based and physics-based classifiers are notoriously susceptible to mismatch of the environment used for training and/or modeling active sonar returns.
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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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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Environmentally tolerant waveguide-invariant target depth classification for active sonar.
The Journal of the Acoustical Society of America, 2010Shallow-water environments produce active sonar returns with many target-like returns from bottom clutter. Scatterer depth classification methods which can discriminate bottom clutter from water column targets are thus critical for controlling false alarms. In recent work, the waveguide invariant (WI) property of shallow-water channels has been used to
Ryan Goldhahn +2 more
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