DocumentCode :
2115832
Title :
Estimation of the composite roughness model parameters
Author :
Gott, Rehecca M. ; Martinez, Andrew B.
Author_Institution :
Dept. of Electr. Eng., Tulane Univ., New Orleans, LA, USA
fYear :
1993
fDate :
18-21 Oct 1993
Abstract :
The estimation of the environmental parameters of the Raleigh-Rice approximation of the composite roughness model and the parameters of the Kirchoff approximation for seafloor acoustic backscatter, given backscatter strength and bathymetric data, is investigated. Estimation of these parameters is an inverse problem whose solution gives surface properties from the measurements of the scattered field. The independence of parameters of both approximations is first determined. Noise-free artificial data are generated by the Rayleigh-Rice approximation and the Kirchoff approximation. These artificial data are then used to train a feedforward neural network using the backpropagation learning algorithm. The trained network is used to estimate the independent parameters of the two approximations
Keywords :
acoustic imaging; acoustic wave scattering; backpropagation; backscatter; bathymetry; feedforward neural nets; geophysical techniques; geophysics computing; inverse problems; oceanographic techniques; seafloor phenomena; sonar; surface topography measurement; underwater sound; Kirchoff approximation; Raleigh-Rice approximation; acoustic backscatter; backpropagation learning algorithm; bathymetry; composite roughness model parameters; computing; estimation; feedforward neural network; geophysical measurement technique; inverse problem; neural net; ocean; scattering; seafloor topography; sonar; trained network; underwater sound reflection; Acoustic measurements; Acoustic scattering; Backscatter; Inverse problems; Parameter estimation; Rayleigh scattering; Rough surfaces; Scattering parameters; Sea floor roughness; Surface roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS '93. Engineering in Harmony with Ocean. Proceedings
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-1385-2
Type :
conf
DOI :
10.1109/OCEANS.1993.325962
Filename :
325962
Link To Document :
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