title: Trans-dimensional joint inversion of seabed scattering and reflection data.
abstract: This paper examines joint inversion of acoustic scattering and reflection data to resolve seabed interface roughness parameters (spectral strength, exponent, and cutoff) and geoacoustic profiles. Trans-dimensional (trans-D) Bayesian sampling is applied with both the number of sediment layers and the order (zeroth or first) of auto-regressive parameters in the error model treated as unknowns. A prior distribution that allows fluid sediment layers over an elastic basement in a trans-D inversion is derived and implemented. Three cases are considered: Scattering-only inversion, joint scattering and reflection inversion, and joint inversion with the trans-D auto-regressive error model. Including reflection data improves the resolution of scattering and geoacoustic parameters. The trans-D auto-regressive model further improves scattering resolution and correctly differentiates between strongly and weakly correlated residual errors.
authors: School of Earth and Ocean Sciences, University of Victoria, Victoria, BC V8W 3P6, Canada. gsteinin@uvic.ca
authors: Gavin
authors: G
authors: Steininger
authors: Jan
authors: J
authors: Dettmer
authors: Stan E
authors: SE
authors: Dosso
authors: Charles W
authors: CW
authors: Holland
mesh_terms: D000162:Acoustics; D001499:Bayes Theorem; D019015:Geologic Sediments; D008390:Markov Chains; D008962:Models, Theoretical; D009038:Motion; D009792:Oceans and Seas; D012542:Scattering, Radiation; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D013016:Sound; D013018:Sound Spectrography; D013997:Time Factors; D014867:Water
chemical_list: D014867:Water