Seabed target discrimination using multistatic acoustic scattering data

2016 ◽  
Vol 140 (4) ◽  
pp. 3170-3170
Author(s):  
Erin M. Fischell ◽  
Henrik Schmidt
Keyword(s):  
Acoustic Scattering ◽  
Scattering Data ◽  
Target Discrimination

scholarly journals Inference of biological and physical parameters in an internal wave using multiple-frequency, acoustic-scattering data

2003 ◽  
Vol 60 (5) ◽  
pp. 1033-1046 ◽  
Author(s):  
Joseph D. Warren ◽  
Timothy K. Stanton ◽  
Peter H. Wiebe ◽  
Harvey E. Seim
Keyword(s):  
Internal Wave ◽  
Field Experiments ◽  
Gulf Of Maine ◽  
Acoustic Scattering ◽  
Primary Source ◽  
Theoretical Work ◽  
Scattering Data ◽  
Physical Parameters ◽  
Multiple Frequency ◽  
Scattering Spectra

Abstract High-frequency sound (>10 kHz) is scattered in the ocean by many different processes. In the water column, marine organisms are often assumed to be the primary source of acoustic backscatter. Recent field experiments and theoretical work suggest that the temperature and salinity microstructure in some oceanic regions could cause acoustic scattering at levels comparable to that caused by marine life. Theoretical acoustic-scattering models predict that the scattering spectra for microstructure and organisms are distinguishable from each other over certain frequency ranges. A method that uses multiple-frequency acoustic data to exploit these differences has been developed, making it possible to discriminate between biological and physical sources of scattering under some conditions. This method has been applied to data collected in an internal wave in the Gulf of Maine. For regions of the internal wave in which the dominant source of scattering is either biological or physical in origin, it is possible to combine the acoustic-scattering data and temperature and salinity profiles with acoustic-scattering models to perform a least-squares inversion. Using this approach, it is possible to estimate the dissipation rate of turbulent kinetic energy for some regions of the internal wave, and the length and numerical abundance of the dominant biological scatterer, euphausiids, in others.

A Novel Classification Method of Fish Based on Multi-Feature Fusion

2015 ◽  
Vol 713-715 ◽  
pp. 1513-1519 ◽  
Author(s):  
Wei Dong Du ◽  
Bao Wei Chen ◽  
Hai Sen Li ◽  
Chao Xu
Keyword(s):  
Discrete Cosine Transform ◽  
Feature Fusion ◽  
Acoustic Scattering ◽  
Scattering Data ◽  
Support Vector ◽  
Svm Classifier ◽  
Correct Identification ◽  
Classification Problems ◽  
Cosine Transform ◽  
Identification Rate

In order to solve fish classification problems based on acoustic scattering data, temporal centroid (TC) features and discrete cosine transform (DCT) coefficients features used to analyze acoustic scattering characteristics of fish from different aspects are extracted. The extracted features of fish are reduced in dimension and fused, and support vector machine (SVM) classifier is used to classify and identify the fishes. Three kinds of different fishes are selected as research objects in this paper, the correct identification rates are given based on temporal centroid features and discrete cosine transform coefficients features and fused features. The processing results of actual experimental data show that multi-feature fusion method can improve the identification rate at about 5% effectively.

Characterization of a cylindrical rod by inversion of acoustic scattering data

Ultrasonics ◽  
2014 ◽  
Vol 54 (6) ◽  
pp. 1559-1567 ◽  
Author(s):  
Mohammadreza Kari ◽  
Farhang Honarvar
Keyword(s):  
Acoustic Scattering ◽  
Scattering Data

Size Determination of Immersed and Embedded Cylindrical Rods by Inversion of Acoustic Scattering Data

2015 ◽  
Vol 798 ◽  
pp. 314-318
Author(s):  
Kari Mohammadreza ◽  
Masoumeh Sadraei
Keyword(s):  
Short Pulse ◽  
Acoustic Scattering ◽  
Scattering Data ◽  
Size Determination ◽  
Good Convergence ◽  
Inversion Technique ◽  
Expansion Technique ◽  
Resonance Frequencies ◽  
Scattered Fields

In this paper, a new approach is proposed for nondestructive size determination of immersed and embedded cylindrical rods by inversion of acoustic scattering data. The normal mode expansion technique is used for modelling the scattered field. Also, the experimental backscattered field is measured using short pulse MIIR technique. The Genetic algorithm is the inversion technique used for measuring the diameters of the rods. The inversion technique matches the modelled and experimental scattered fields at resonance points, so the diameters of the rods can be estimated. The numerical results indicate that proper selection of resonance frequencies leads to accurate measurement of diameter. The proposed approach showed very good convergence and the results obtained were found to agree very well with available data.

Sign in / Sign up

Export Citation Format

Share Document