A Method for Estimating Dominant Acoustic Backscatter Mechanism of Water-Seabed Interface via Relative Entropy Estimation

A Method for Estimating Dominant Acoustic Backscatter Mechanism of Water-Seabed Interface via Relative Entropy Estimation

It is important to distinguish the dominant mechanism of seabed acoustic scattering for the quantitative inversion of seabed parameters. An identification scheme is proposed based on Bayesian inversion with the relative entropy used to estimate dominant acoustic backscatter mechanism. DiffeRential E...

Full description

Bibliographic Details
Main Authors: Bo Zou, Jingsheng Zhai, Jian Xu, Zhaoxing Li, Sunpei Gao
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/4272436
id doaj-7479d28a8a5546c988fc9556cc41f814
record_format Article
spelling doaj-7479d28a8a5546c988fc9556cc41f8142020-11-24T23:31:30ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/42724364272436A Method for Estimating Dominant Acoustic Backscatter Mechanism of Water-Seabed Interface via Relative Entropy EstimationBo Zou0Jingsheng Zhai1Jian Xu2Zhaoxing Li3Sunpei Gao4School of Marine Science and Technology, Tianjin University, Tianjin 300072, ChinaSchool of Marine Science and Technology, Tianjin University, Tianjin 300072, ChinaSchool of Marine Science and Technology, Tianjin University, Tianjin 300072, ChinaZhengzhou Institute of Surveying and Mapping, Zhengzhou 450052, ChinaSchool of Marine Science and Technology, Tianjin University, Tianjin 300072, ChinaIt is important to distinguish the dominant mechanism of seabed acoustic scattering for the quantitative inversion of seabed parameters. An identification scheme is proposed based on Bayesian inversion with the relative entropy used to estimate dominant acoustic backscatter mechanism. DiffeRential Evolution Adaptive Metropolis is used to obtain samples from posterior probability density in Bayesian inversion. Three mechanisms for seabed scattering are considered: scattering from a rough water-seabed interface, scattering from volume heterogeneities, and mixed scattering from both interface roughness and volume heterogeneities. Roughness scattering and volume scattering are modelled based on Fluid Theories using Small-Slope Approximation and Small-Perturbation Fluid Approximation, respectively. The identification scheme is applied to three simulated observation data sets. The results indicate that the scheme is promising and appears capable of distinguishing sediment volume from interface roughness scattering and can correctly identify the dominant acoustic backscatter mechanism.http://dx.doi.org/10.1155/2018/4272436
collection DOAJ
language English
format Article
sources DOAJ
author Bo Zou
Jingsheng Zhai
Jian Xu
Zhaoxing Li
Sunpei Gao
spellingShingle Bo Zou
Jingsheng Zhai
Jian Xu
Zhaoxing Li
Sunpei Gao
A Method for Estimating Dominant Acoustic Backscatter Mechanism of Water-Seabed Interface via Relative Entropy Estimation
Mathematical Problems in Engineering
author_facet Bo Zou
Jingsheng Zhai
Jian Xu
Zhaoxing Li
Sunpei Gao
author_sort Bo Zou
title A Method for Estimating Dominant Acoustic Backscatter Mechanism of Water-Seabed Interface via Relative Entropy Estimation
title_short A Method for Estimating Dominant Acoustic Backscatter Mechanism of Water-Seabed Interface via Relative Entropy Estimation
title_full A Method for Estimating Dominant Acoustic Backscatter Mechanism of Water-Seabed Interface via Relative Entropy Estimation
title_fullStr A Method for Estimating Dominant Acoustic Backscatter Mechanism of Water-Seabed Interface via Relative Entropy Estimation
title_full_unstemmed A Method for Estimating Dominant Acoustic Backscatter Mechanism of Water-Seabed Interface via Relative Entropy Estimation
title_sort method for estimating dominant acoustic backscatter mechanism of water-seabed interface via relative entropy estimation
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2018-01-01
description It is important to distinguish the dominant mechanism of seabed acoustic scattering for the quantitative inversion of seabed parameters. An identification scheme is proposed based on Bayesian inversion with the relative entropy used to estimate dominant acoustic backscatter mechanism. DiffeRential Evolution Adaptive Metropolis is used to obtain samples from posterior probability density in Bayesian inversion. Three mechanisms for seabed scattering are considered: scattering from a rough water-seabed interface, scattering from volume heterogeneities, and mixed scattering from both interface roughness and volume heterogeneities. Roughness scattering and volume scattering are modelled based on Fluid Theories using Small-Slope Approximation and Small-Perturbation Fluid Approximation, respectively. The identification scheme is applied to three simulated observation data sets. The results indicate that the scheme is promising and appears capable of distinguishing sediment volume from interface roughness scattering and can correctly identify the dominant acoustic backscatter mechanism.
url http://dx.doi.org/10.1155/2018/4272436
work_keys_str_mv AT bozou amethodforestimatingdominantacousticbackscattermechanismofwaterseabedinterfaceviarelativeentropyestimation
AT jingshengzhai amethodforestimatingdominantacousticbackscattermechanismofwaterseabedinterfaceviarelativeentropyestimation
AT jianxu amethodforestimatingdominantacousticbackscattermechanismofwaterseabedinterfaceviarelativeentropyestimation
AT zhaoxingli amethodforestimatingdominantacousticbackscattermechanismofwaterseabedinterfaceviarelativeentropyestimation
AT sunpeigao amethodforestimatingdominantacousticbackscattermechanismofwaterseabedinterfaceviarelativeentropyestimation
AT bozou methodforestimatingdominantacousticbackscattermechanismofwaterseabedinterfaceviarelativeentropyestimation
AT jingshengzhai methodforestimatingdominantacousticbackscattermechanismofwaterseabedinterfaceviarelativeentropyestimation
AT jianxu methodforestimatingdominantacousticbackscattermechanismofwaterseabedinterfaceviarelativeentropyestimation
AT zhaoxingli methodforestimatingdominantacousticbackscattermechanismofwaterseabedinterfaceviarelativeentropyestimation
AT sunpeigao methodforestimatingdominantacousticbackscattermechanismofwaterseabedinterfaceviarelativeentropyestimation
_version_ 1725537718792880128

Similar Items