Results 191 to 200 of about 1,393 (219)
Some of the next articles are maybe not open access.
Environmentally invariant features for classification of active sonar signals.
The Journal of the Acoustical Society of America, 2009Dispersion and damping (frequency-dependent spreading and attenuation) can be significant in shallow water sound propagation. These propagation-induced effects can be detrimental to classification of active sonar returns because the observed backscatter depends not only on the target, but also on the propagation environment and how far the wave has ...
Patrick Loughlin, Greg Okopal
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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.
openaire +1 more source
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
openaire +1 more source